Triple
T13694397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Good Deed |
E328346
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lee Clay
Lee Clay is a film producer known for his work on the thriller "No Good Deed" and other feature films.
|
E1054532
|
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: Lee Clay | Statement: [No Good Deed, producer, Lee Clay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Clay Context triple: [No Good Deed, producer, Lee Clay]
-
A.
Johnny Clay
Johnny Clay is the meticulous criminal mastermind who orchestrates a complex racetrack heist in Stanley Kubrick’s film "The Killing."
-
B.
Willie Clay
Willie Clay is a former American football defensive lineman best known for his NFL career, including winning Super Bowl XXXI with the New England Patriots.
-
C.
Willie Clayton
Willie Clayton is an American soul and blues singer known for his smooth vocals and contributions to contemporary Southern soul music.
-
D.
Charlie Smalls
Charlie Smalls was an American composer and songwriter best known for creating the music and lyrics for the hit Broadway musical "The Wiz."
-
E.
Joe Clay
Joe Clay is the ambitious public relations executive whose descent into alcoholism and struggle for recovery form the emotional core of the film "Days of Wine and Roses."
- 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: Lee Clay Triple: [No Good Deed, producer, Lee Clay]
Generated description
Lee Clay is a film producer known for his work on the thriller "No Good Deed" and other feature films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Clay Target entity description: Lee Clay is a film producer known for his work on the thriller "No Good Deed" and other feature films.
-
A.
Johnny Clay
Johnny Clay is the meticulous criminal mastermind who orchestrates a complex racetrack heist in Stanley Kubrick’s film "The Killing."
-
B.
Willie Clay
Willie Clay is a former American football defensive lineman best known for his NFL career, including winning Super Bowl XXXI with the New England Patriots.
-
C.
Willie Clayton
Willie Clayton is an American soul and blues singer known for his smooth vocals and contributions to contemporary Southern soul music.
-
D.
Charlie Smalls
Charlie Smalls was an American composer and songwriter best known for creating the music and lyrics for the hit Broadway musical "The Wiz."
-
E.
Joe Clay
Joe Clay is the ambitious public relations executive whose descent into alcoholism and struggle for recovery form the emotional core of the film "Days of Wine and Roses."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795e361c48190b37060312e7df181 |
completed | May 3, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f796e5c60c8190a19389bc4cdbd658 |
completed | May 3, 2026, 6:41 p.m. |
Created at: April 9, 2026, 9:54 p.m.