Triple

T22427274
Position Surface form Disambiguated ID Type / Status
Subject Whitney Able E554404 entity
Predicate notableWork P4 FINISHED
Object Monsters 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: Monsters | Statement: [Whitney Able, notableWork, Monsters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monsters
Context triple: [Whitney Able, notableWork, Monsters]
  • A. Monsters
    Monsters is a professional ice hockey team based in Cleveland, Ohio, competing in the American Hockey League as the affiliate of the NHL’s Columbus Blue Jackets.
  • B. Monsters chosen
    Monsters is a 2010 British science fiction film directed by Gareth Edwards that follows two Americans traveling through a quarantined, alien-infested zone in Mexico.
  • C. Monsters
    "Monsters" is a pop-punk/alternative rock song by All Time Low, best known for its catchy hook and collaboration with blackbear (and later Demi Lovato) that brought the band significant mainstream chart success.
  • D. Monsters
    "Monsters" is a country song by American singer-songwriter Eric Church that reflects on fear, faith, and confronting personal demons.
  • E. Monsters
    "Monsters" is an emotional ballad by James Blunt, written as a farewell to his ailing father and noted for its poignant lyrics and stripped-back performance.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.