Triple

T10482668
Position Surface form Disambiguated ID Type / Status
Subject Tony Rock E247209 entity
Predicate notableRelative P367 FINISHED
Object Chris Rock E49674 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 Rock | Statement: [Tony Rock, notableRelative, Chris Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Rock
Context triple: [Tony Rock, notableRelative, 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 (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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37382a0bc81908938b3cbdf0528e0 completed April 18, 2026, 12:05 p.m.
Created at: April 6, 2026, 12:22 p.m.