Triple

T9679203
Position Surface form Disambiguated ID Type / Status
Subject The Scientist E234238 entity
Predicate bSide P15273 FINISHED
Object Animals E500532 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: Animals | Statement: [The Scientist, bSide, Animals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Animals
Context triple: [The Scientist, bSide, Animals]
  • A. 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.
  • B. 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.
  • C. Animals
    Animals is a 2019 independent drama film exploring the hedonistic yet strained friendship between two women in Dublin, starring Holliday Grainger.
  • D. 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.
  • E. Animal
    Animal is the wild, frenzied drummer from The Muppet Show, known for his chaotic energy, minimal vocabulary, and role as the percussionist for Dr. Teeth and the Electric Mayhem.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9c586c8190abc0ab1771bf6c5c completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a395a508190a185d08f3719ee09 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:16 p.m.