Triple

T9341455
Position Surface form Disambiguated ID Type / Status
Subject Gareth Edwards E224771 entity
Predicate wrote P2831 FINISHED
Object Monsters E792726 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: Monsters | Statement: [Gareth Edwards, wrote, Monsters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monsters
Context triple: [Gareth Edwards, wrote, 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 an emotional ballad by James Blunt, written as a farewell to his ailing father and noted for its poignant lyrics and stripped-back performance.
  • D. Monsters!
    Monsters! is a museum exhibition exploring the cultural, historical, and psychological meanings behind mythical creatures and monstrous beings.
  • E. Shadow Monster
    Shadow Monster is an alternate name for a Mind Flayer, a sinister, tentacled aberration from Dungeons & Dragons known for its psionic powers and brain-devouring tendencies.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bafa9108190889397614756020d completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c7f3748190bfa4c3a4df8c5d42 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:40 p.m.