Triple
T597801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horrible Bosses |
E11424
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Jennifer Aniston as Dr. Julia Harris
Jennifer Aniston as Dr. Julia Harris is a comedic portrayal of an aggressively flirtatious, wildly inappropriate dentist who serves as one of the antagonistic bosses in the dark comedy film "Horrible Bosses."
|
E74779
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jennifer Aniston as Dr. Julia Harris | Statement: [Horrible Bosses, characterPortrayed, Jennifer Aniston as Dr. Julia Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Aniston as Dr. Julia Harris Context triple: [Horrible Bosses, characterPortrayed, Jennifer Aniston as Dr. Julia Harris]
-
A.
Julianna Margulies
Julianna Margulies is an American actress best known for her acclaimed television roles on series such as "ER" and "The Good Wife."
-
B.
Jean Hagen as Lina Lamont
Jean Hagen as Lina Lamont is the shrill-voiced, comically vain silent-film star whose transition to talkies provides much of the humor and conflict in the classic musical film "Singin' in the Rain."
-
C.
Dr. Randall Mindy
Dr. Randall Mindy is the fictional astronomer protagonist in the satirical disaster film "Don't Look Up," who discovers a comet headed toward Earth and struggles to convince the world of the impending catastrophe.
-
D.
Nicole Kidman as Patti Lomax
Nicole Kidman as Patti Lomax is the compassionate and resilient wife of Eric Lomax in the film "The Railway Man," supporting him as he confronts the trauma of his World War II experiences.
-
E.
Adrianne Palicki
Adrianne Palicki is an American actress best known for her roles in television series such as "Friday Night Lights," "Agents of S.H.I.E.L.D.," and "The Orville," as well as films like "G.I. Joe: Retaliation" and "John Wick."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jennifer Aniston as Dr. Julia Harris Triple: [Horrible Bosses, characterPortrayed, Jennifer Aniston as Dr. Julia Harris]
Generated description
Jennifer Aniston as Dr. Julia Harris is a comedic portrayal of an aggressively flirtatious, wildly inappropriate dentist who serves as one of the antagonistic bosses in the dark comedy film "Horrible Bosses."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Aniston as Dr. Julia Harris Target entity description: Jennifer Aniston as Dr. Julia Harris is a comedic portrayal of an aggressively flirtatious, wildly inappropriate dentist who serves as one of the antagonistic bosses in the dark comedy film "Horrible Bosses."
-
A.
Julianna Margulies
Julianna Margulies is an American actress best known for her acclaimed television roles on series such as "ER" and "The Good Wife."
-
B.
Jean Hagen as Lina Lamont
Jean Hagen as Lina Lamont is the shrill-voiced, comically vain silent-film star whose transition to talkies provides much of the humor and conflict in the classic musical film "Singin' in the Rain."
-
C.
Dr. Randall Mindy
Dr. Randall Mindy is the fictional astronomer protagonist in the satirical disaster film "Don't Look Up," who discovers a comet headed toward Earth and struggles to convince the world of the impending catastrophe.
-
D.
Nicole Kidman as Patti Lomax
Nicole Kidman as Patti Lomax is the compassionate and resilient wife of Eric Lomax in the film "The Railway Man," supporting him as he confronts the trauma of his World War II experiences.
-
E.
Adrianne Palicki
Adrianne Palicki is an American actress best known for her roles in television series such as "Friday Night Lights," "Agents of S.H.I.E.L.D.," and "The Orville," as well as films like "G.I. Joe: Retaliation" and "John Wick."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d2b98d08190a1c1e8659efdfd75 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f36ab388190a418f6d4ffe91d66 |
completed | March 2, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69a51fed5cf881908565dfb8c798807a |
completed | March 2, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5206e05148190a1c8c65bad1a637a |
completed | March 2, 2026, 5:30 a.m. |
Created at: March 1, 2026, 7:35 p.m.