Triple

T16099994
Position Surface form Disambiguated ID Type / Status
Subject Jeff Wexler E390589 entity
Predicate notableWork P4 FINISHED
Object We Bought a Zoo E177177 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: We Bought a Zoo | Statement: [Jeff Wexler, notableWork, We Bought a Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: We Bought a Zoo
Context triple: [Jeff Wexler, notableWork, We Bought a Zoo]
  • A. We Bought a Zoo chosen
    We Bought a Zoo is a 2011 family drama film, directed by Cameron Crowe and starring Matt Damon and Scarlett Johansson, about a widowed father who buys and renovates a struggling zoo as a fresh start for his family.
  • 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 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.
  • 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.

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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9d6140819087f9b3dc549c4aec completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.