Triple
T4441008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Lies |
E95769
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Juno Skinner
Juno Skinner is a seductive and ruthless art dealer who secretly collaborates with terrorists in the action film "True Lies."
|
E439230
|
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: Juno Skinner | Statement: [True Lies, character, Juno Skinner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juno Skinner Context triple: [True Lies, character, Juno Skinner]
-
A.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
B.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
C.
Anna Jepsen
Anna Jepsen is a person notable enough to be recognized as a prominent bearer of the surname Jepsen.
-
D.
Elizabeth Young
Elizabeth Young was an American actress active in the 1930s who appeared in several Hollywood films before retiring from the screen.
-
E.
Carly Rae Jepsen
Carly Rae Jepsen is a Canadian pop singer and songwriter best known for her global hit single "Call Me Maybe" and her critically acclaimed album "Emotion."
- 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: Juno Skinner Triple: [True Lies, character, Juno Skinner]
Generated description
Juno Skinner is a seductive and ruthless art dealer who secretly collaborates with terrorists in the action film "True Lies."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juno Skinner Target entity description: Juno Skinner is a seductive and ruthless art dealer who secretly collaborates with terrorists in the action film "True Lies."
-
A.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
B.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
C.
Anna Jepsen
Anna Jepsen is a person notable enough to be recognized as a prominent bearer of the surname Jepsen.
-
D.
Elizabeth Young
Elizabeth Young was an American actress active in the 1930s who appeared in several Hollywood films before retiring from the screen.
-
E.
Carly Rae Jepsen
Carly Rae Jepsen is a Canadian pop singer and songwriter best known for her global hit single "Call Me Maybe" and her critically acclaimed album "Emotion."
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6143adefc81908f6c639906e0fd1a |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614b00dbc8190a7ea0477bedbc96a |
completed | March 15, 2026, 2:08 a.m. |
Created at: March 12, 2026, 11:32 p.m.