Triple
T19351198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Theft Auto |
E484022
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Cindy Williams
Cindy Williams is a screenwriter known for her work on the influential 1977 car-chase film "Grand Theft Auto."
|
E1375556
|
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: Cindy Williams | Statement: [Grand Theft Auto, screenwriter, Cindy Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Williams Context triple: [Grand Theft Auto, screenwriter, Cindy Williams]
-
A.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
B.
Cindy Williams
Cindy Williams is a fictional character from the British soap opera "EastEnders," known for her tumultuous relationships and connections to the Beale family.
-
C.
JoBeth Williams
JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
-
D.
June Lockhart
June Lockhart is an American actress best known for her roles in classic television series such as "Lassie" and the original "Lost in Space."
-
E.
Nancy Kyes
Nancy Kyes is an American actress best known for her roles in John Carpenter films, including the original Halloween and Assault on Precinct 13.
- 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: Cindy Williams Triple: [Grand Theft Auto, screenwriter, Cindy Williams]
Generated description
Cindy Williams is a screenwriter known for her work on the influential 1977 car-chase film "Grand Theft Auto."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cindy Williams Target entity description: Cindy Williams is a screenwriter known for her work on the influential 1977 car-chase film "Grand Theft Auto."
-
A.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
B.
Cindy Williams
Cindy Williams is a fictional character from the British soap opera "EastEnders," known for her tumultuous relationships and connections to the Beale family.
-
C.
JoBeth Williams
JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
-
D.
June Lockhart
June Lockhart is an American actress best known for her roles in classic television series such as "Lassie" and the original "Lost in Space."
-
E.
Nancy Kyes
Nancy Kyes is an American actress best known for her roles in John Carpenter films, including the original Halloween and Assault on Precinct 13.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733bfb3dc81908fe01c43583d0a57 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a073566dfd8819097e5cee714ccebda |
completed | May 15, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0735b445388190a588f6eeaf49e1b7 |
completed | May 15, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:34 p.m.