Triple

T18662413
Position Surface form Disambiguated ID Type / Status
Subject The Great Mouse Detective E456233 entity
Predicate screenwriter P2831 FINISHED
Object Burny Mattinson 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: Burny Mattinson | Statement: [The Great Mouse Detective, screenwriter, Burny Mattinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burny Mattinson
Context triple: [The Great Mouse Detective, screenwriter, Burny Mattinson]
  • A. Burny Mattinson chosen
    Burny Mattinson was a veteran Walt Disney animator, director, and story artist whose decades-long career contributed to many classic Disney films.
  • B. Robin Corbett
    Robin Corbett was a British Labour Party politician who served as a Member of Parliament and was known for his work on civil liberties and prison reform.
  • C. Isen Robbins
    Isen Robbins is a film producer known for his work on independent and character-driven movies.
  • D. Wren Petersen
    Wren Petersen is the central protagonist of the film "The Last Face," a humanitarian doctor navigating love and moral conflict amid the chaos of war-torn Africa.
  • E. Gil Sharewood
    Gil Sharewood is a character from the classic television anthology series The Twilight Zone, appearing in the episode "The Bewitchin’ Pool."
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508b35ec819085c1c4c2c98d6672 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.