Triple

T7288293
Position Surface form Disambiguated ID Type / Status
Subject In Too Deep E163929 entity
Predicate castMember P1668 FINISHED
Object Omar Epps E598558 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: Omar Epps | Statement: [In Too Deep, castMember, Omar Epps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar Epps
Context triple: [In Too Deep, castMember, Omar Epps]
  • A. Omar Epps chosen
    Omar Epps is an American actor and producer best known for his roles in films like "Love & Basketball" and the TV series "House."
  • B. Derek Luke
    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."
  • C. 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.
  • D. Logan Marshall-Green
    Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
  • E. Freddie Dalton Thompson
    Freddie Dalton Thompson was an American politician, lawyer, lobbyist, and actor best known for serving as a U.S. Senator from Tennessee and for his roles in film and television, including "Law & Order."
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e5368794819084e50bc87d8264de completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 2:59 p.m.