Triple

T21327785
Position Surface form Disambiguated ID Type / Status
Subject Herman Cohen E525806 entity
Predicate workedOn P3 FINISHED
Object Black Zoo 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: Black Zoo | Statement: [Herman Cohen, workedOn, Black Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Zoo
Context triple: [Herman Cohen, workedOn, Black Zoo]
  • A. Black Zoo chosen
    Black Zoo is a 1963 American horror film about a sinister private zoo whose big cats are used to carry out murders.
  • B. The Zoo
    "The Zoo" is the raucous student section and fan base known for creating an intense home-field atmosphere at Arizona Stadium, home of the University of Arizona Wildcats football team.
  • C. The Zoo
    The Zoo is the energetic student cheering section for the University of Montana Grizzlies football team, known for its loud, passionate game-day atmosphere.
  • D. The Zoo
    The Zoo is a Filipino rock band best known as one of the groups fronted by singer Arnel Pineda before he joined Journey.
  • E. The Zoo
    The Zoo is a massive, artificial space habitat in "Steven Universe" where humans are unknowingly kept in a controlled, idyllic environment by the Gem Homeworld.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4d69b4819088649e34213d0b67 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.