Triple

T21848607
Position Surface form Disambiguated ID Type / Status
Subject Max Black E539441 entity
Predicate createdBy P806 FINISHED
Object Whitney Cummings 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: Whitney Cummings | Statement: [Max Black, createdBy, Whitney Cummings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitney Cummings
Context triple: [Max Black, createdBy, Whitney Cummings]
  • A. Whitney Cummings chosen
    Whitney Cummings is an American stand-up comedian, actress, writer, and producer best known for creating and starring in the sitcom "Whitney" and co-creating the hit series "2 Broke Girls."
  • B. Sarah Silverman
    Sarah Silverman is an American stand-up comedian, actress, and writer known for her sharp, provocative humor and appearances in film and television.
  • C. Rachel Dratch
    Rachel Dratch is an American comedian and actress best known for her work as a cast member on "Saturday Night Live" and for her numerous comedic film and television roles.
  • D. Tiffany Haddish
    Tiffany Haddish is an American stand-up comedian and actress known for her breakout role in "Girls Trip" and her energetic, unfiltered comedic style.
  • E. Natasha Leggero
    Natasha Leggero is an American comedian, actress, and writer known for her sharp, satirical stand-up and numerous television and film comedy roles.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd56f4e081909a906b64c1019e6a completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.