Triple

T21739675
Position Surface form Disambiguated ID Type / Status
Subject Jonny Keeling E536620 entity
Predicate notableWork P4 FINISHED
Object The 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: The Zoo | Statement: [Jonny Keeling, notableWork, The Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Zoo
Context triple: [Jonny Keeling, notableWork, The Zoo]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. The Zoo
    "The Zoo" is a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a714c208190b96efe23ed3bf0db completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.