Triple

T11897880
Position Surface form Disambiguated ID Type / Status
Subject Bookends E283079 entity
Predicate notableSong P4 FINISHED
Object At the Zoo E952432 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: At the Zoo | Statement: [Bookends, notableSong, At the Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: At the Zoo
Context triple: [Bookends, notableSong, At the Zoo]
  • A. At the Zoo chosen
    "At the Zoo" is a 1967 folk-rock song by Simon & Garfunkel, known for its whimsical lyrics that describe a visit to the Central Park Zoo.
  • 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 popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
  • E. The Zoo
    "The Zoo" is a popular hard rock song by the German band Scorpions, known for its heavy riff and frequent appearance in their live performances.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43ff588f08190affc45b44b9e85e3 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.