Triple
T20161932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Mill |
E491727
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Kid Conner
Kid Conner is a fictional character appearing in the 1906 musical comedy "The Red Mill."
|
E1415043
|
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: Kid Conner | Statement: [The Red Mill, hasCharacter, Kid Conner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kid Conner Context triple: [The Red Mill, hasCharacter, Kid Conner]
-
A.
Tracee Joy Silberstein
Tracee Joy Silberstein is the birth name of Tracee Ellis Ross, an American actress and television host best known for her roles on the sitcoms "Girlfriends" and "Black-ish."
-
B.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
C.
Riley Kinnear
Riley Kinnear is the child of British actor Rory Kinnear.
-
D.
Kelsey Dohring
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
E.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
- 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: Kid Conner Triple: [The Red Mill, hasCharacter, Kid Conner]
Generated description
Kid Conner is a fictional character appearing in the 1906 musical comedy "The Red Mill."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kid Conner Target entity description: Kid Conner is a fictional character appearing in the 1906 musical comedy "The Red Mill."
-
A.
Tracee Joy Silberstein
Tracee Joy Silberstein is the birth name of Tracee Ellis Ross, an American actress and television host best known for her roles on the sitcoms "Girlfriends" and "Black-ish."
-
B.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
C.
Riley Kinnear
Riley Kinnear is the child of British actor Rory Kinnear.
-
D.
Kelsey Dohring
Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
E.
Jessica Lucas
Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08347b41d8819086bd36e5e04c69ad |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08359866c481908aa30ac61e18bcb0 |
completed | May 16, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08361f64a08190af3305685a50f001 |
completed | May 16, 2026, 9:17 a.m. |
Created at: April 11, 2026, 11:34 p.m.