Triple

T6956219
Position Surface form Disambiguated ID Type / Status
Subject Left/Right Productions E161248 entity
Predicate notableWork P4 FINISHED
Object The Zoo unclear NED1 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: The Zoo | Statement: [Left/Right Productions, notableWork, The Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Zoo
Context triple: [Left/Right Productions, 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 a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
  • C. El gran zoo
    El gran zoo is a celebrated poetry collection by Cuban writer Nicolás Guillén that uses the metaphor of a fantastical zoo to deliver sharp social and political satire.
  • D. Zoo City
    Zoo City is a noir-infused urban fantasy novel by Lauren Beukes, set in an alternate Johannesburg where people magically manifest animal companions as a mark of their criminal guilt.
  • E. Zoo
    "Zoo" is a television drama series based on James Patterson’s novel, depicting a global uprising of animals against humanity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacf8c8c8190a25dbacebeb4b66e completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75888d48c81908a8dbd16d7591b55 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.