Triple

T20410569
Position Surface form Disambiguated ID Type / Status
Subject Wish You Were Here E500576 entity
Predicate nextWork P9710 FINISHED
Object Animals 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: Animals | Statement: [Wish You Were Here, nextWork, Animals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Animals
Context triple: [Wish You Were Here, nextWork, Animals]
  • A. Animals
    "Animals" is a 2013 big-room house track by Dutch DJ and producer Martin Garrix that became an international hit and a defining anthem of the EDM festival era.
  • B. Animals
    Animals is a 2019 independent drama film exploring the hedonistic yet strained friendship between two women in Dublin, starring Holliday Grainger.
  • C. Animals chosen
    Animals is a 1977 concept album by Pink Floyd, largely created by Roger Waters, that presents a dark, politically charged critique of society through extended progressive rock compositions.
  • D. Animals
    "Animals" is a 1941 modernist painting by Mexican artist Rufino Tamayo that depicts stylized, expressive creatures in a vivid, semi-abstract composition.
  • E. Dieren
    Dieren is a village in the Dutch province of Gelderland, known as a gateway to the Veluwezoom National Park and the surrounding wooded and river landscapes.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3ecb348190ae777f6276037828 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.