Triple

T11236841
Position Surface form Disambiguated ID Type / Status
Subject This Means War E265960 entity
Predicate castMember P1668 FINISHED
Object Chelsea Handler E563082 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: Chelsea Handler | Statement: [This Means War, castMember, Chelsea Handler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelsea Handler
Context triple: [This Means War, castMember, Chelsea Handler]
  • A. Chelsea Handler chosen
    Chelsea Handler is an American comedian, actress, author, and television host best known for her sharp, irreverent humor and her late-night talk show "Chelsea Lately."
  • B. Kathy Griffin
    Kathy Griffin is an American stand-up comedian and actress known for her sharp, often controversial humor and frequent television appearances.
  • C. 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.
  • D. 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.
  • E. Amy Schumer
    Amy Schumer is an American stand-up comedian, actress, and writer known for her sharp, self-deprecating humor and work on projects like "Inside Amy Schumer" and "Trainwreck."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.