Triple

T16264840
Position Surface form Disambiguated ID Type / Status
Subject Rush Hour E394848 entity
Predicate starring P1507 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: [Rush Hour, starring, Chris Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Tucker
Context triple: [Rush Hour, starring, 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. Eric Lloyd
    Eric Lloyd is an American actor best known for playing Charlie Calvin, the son of Tim Allen’s character, in the popular holiday film series "The Santa Clause."
  • E. 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.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c73944819085633e6d2a69bae9 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004571013c8190ae3e4ecd17c08004 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:05 a.m.