Triple

T20164535
Position Surface form Disambiguated ID Type / Status
Subject Marty the Zebra E491793 entity
Predicate voiceActor P1507 FINISHED
Object Chris Rock 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: Chris Rock | Statement: [Marty the Zebra, voiceActor, Chris Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Rock
Context triple: [Marty the Zebra, voiceActor, Chris Rock]
  • A. Chris Rock chosen
    Chris Rock is an American stand-up comedian, actor, writer, and filmmaker known for his sharp, socially conscious humor and incisive commentary on race and politics.
  • B. Dave Chappelle
    Dave Chappelle is an influential American stand-up comedian, actor, and writer best known for his sharp, socially conscious humor and his groundbreaking sketch series "Chappelle's Show."
  • C. Cedric the Entertainer
    Cedric the Entertainer is an American comedian, actor, and game show host known for his stand-up comedy, roles in films like "Barbershop," and work on "The Steve Harvey Show."
  • D. Lewis Black
    Lewis Black is an American stand-up comedian, actor, and author best known for his angry, rant-filled style of political and social commentary.
  • E. Mike Epps
    Mike Epps is an American stand-up comedian and actor known for his roles in films like the "Friday" series and numerous comedy specials.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684376408190a68890ab48fa5424 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.