Triple
T15389279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Good Girls |
E367996
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lee Clay |
E1054532
|
NE FINISHED |
How this triple was built (2 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: [Very Good Girls, producer, Lee Clay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Clay Context triple: [Very Good Girls, producer, Lee Clay]
-
A.
Lee Clay
chosen
Lee Clay is a film producer known for his work on the thriller "No Good Deed" and other feature films.
-
B.
Johnny Clay
Johnny Clay is the meticulous criminal mastermind who orchestrates a complex racetrack heist in Stanley Kubrick’s film "The Killing."
-
C.
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.
-
D.
Willie Clayton
Willie Clayton is an American soul and blues singer known for his smooth vocals and contributions to contemporary Southern soul music.
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.