Triple

T6629556
Position Surface form Disambiguated ID Type / Status
Subject Chris Tucker E149887 entity
Predicate name P16 FINISHED
Object Chris Tucker E149887 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: Chris Tucker | Statement: [Chris Tucker, name, Chris Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Tucker
Context triple: [Chris Tucker, name, Chris Tucker]
  • A. Chris Tucker chosen
    Chris Tucker is an American actor and comedian best known for his high-energy performances in the Rush Hour film series and other popular comedies.
  • B. Chris Kattan
    Chris Kattan is an American comedian and actor best known for his work on "Saturday Night Live" and roles in films like "A Night at the Roxbury."
  • C. Joe Lo Truglio
    Joe Lo Truglio is an American actor and comedian best known for his role as the earnest, quirky detective Charles Boyle on the television sitcom "Brooklyn Nine-Nine."
  • D. Keenen Ivory Wayans
    Keenen Ivory Wayans is an American comedian, actor, writer, and filmmaker best known for creating the sketch comedy series "In Living Color" and directing several successful parody and comedy films.
  • E. David Spade
    David Spade is an American comedian and actor known for his work on "Saturday Night Live" and in numerous comedy films and television shows.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa5c9b48190b645be96d446d0ca completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44f5f9c819088cfb4fd87887766 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.