Triple
T21011067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notorious |
E517547
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Derek Luke |
—
|
NE NERFINISHED |
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: Derek Luke | Statement: [Notorious, hasCastMember, Derek Luke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Luke Context triple: [Notorious, hasCastMember, Derek Luke]
-
A.
Derek Luke
chosen
Derek Luke is an American actor known for his breakout role in "Antwone Fisher" and performances in films like "Glory Road" and "Captain America: The First Avenger."
-
B.
Omar Epps
Omar Epps is an American actor and producer best known for his roles in films like "Love & Basketball" and the TV series "House."
-
C.
Josh Parker
Josh Parker is the hapless college student protagonist of the comedy film "Road Trip," whose cross-country journey to retrieve an incriminating videotape drives the movie’s plot.
-
D.
Larry Gura
Larry Gura is a former Major League Baseball left-handed pitcher best known for his successful tenure with the Kansas City Royals during the 1970s and early 1980s.
-
E.
Michael Ealy
Michael Ealy is an American actor known for his roles in films like "Barbershop," "Think Like a Man," and "2 Fast 2 Furious," as well as various television series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.