Triple
T11842516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali (2001 film) |
E281687
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Mykelti Williamson |
E38461
|
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: Mykelti Williamson | Statement: [Ali (2001 film), castMember, Mykelti Williamson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mykelti Williamson Context triple: [Ali (2001 film), castMember, Mykelti Williamson]
-
A.
Mykelti Williamson
chosen
Mykelti Williamson is an American actor best known for his roles in films such as "Forrest Gump," where he played Bubba, and numerous television series.
-
B.
Bryant Myers
Bryant Myers is a Puerto Rican Latin trap and reggaeton artist known for his gritty lyrics and collaborations with major urban artists.
-
C.
Kobe Faison
Kobe Faison is one of the children of actor and comedian Donald Faison and his former partner Lisa Askey.
-
D.
Jacquire King
Jacquire King is an American record producer and engineer known for his work with artists such as Kings of Leon, Tom Waits, and Norah Jones.
-
E.
Dakin Matthews
Dakin Matthews is an American actor, director, and playwright known for his extensive work on stage and screen, including numerous Broadway productions and television roles.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
Created at: April 8, 2026, 9:43 p.m.