Triple

T3153990
Position Surface form Disambiguated ID Type / Status
Subject Meagan Good E65940 entity
Predicate workedWith P398 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: [Meagan Good, workedWith, Chris Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Rock
Context triple: [Meagan Good, workedWith, 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e7f4688190b477186254f8a572 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b22503ba208190814ab2bfbe380c42 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.