Triple

T17305869
Position Surface form Disambiguated ID Type / Status
Subject Martin Lawrence E420162 entity
Predicate coStar P43875 FINISHED
Object Will Smith E140767 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: Will Smith | Statement: [Martin Lawrence, coStar, Will Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Smith
Context triple: [Martin Lawrence, coStar, Will Smith]
  • A. Will Smith chosen
    Will Smith is an American actor, rapper, and film producer known for his charismatic performances in blockbuster films and television.
  • B. Will Smith
    Will Smith is a British television writer known for his work on comedy series such as "The Thick of It" and "Veep."
  • C. J. B. Smoove
    J. B. Smoove is an American comedian, actor, and writer best known for his energetic, improvisational style and his role as Leon Black on the HBO series "Curb Your Enthusiasm."
  • D. Martin Lawrence
    Martin Lawrence is an American comedian and actor best known for his energetic stand-up, his hit sitcom "Martin," and his leading roles in the "Bad Boys" film series alongside Will Smith.
  • E. Cuba Gooding Jr.
    Cuba Gooding Jr. is an American actor best known for his Academy Award–winning performance in "Jerry Maguire" and prominent roles in films such as "Boyz n the Hood" and "Men of Honor."
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e0c1b881908aa2b6b4d8ac04b6 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.