Triple

T20901331
Position Surface form Disambiguated ID Type / Status
Subject Batman: The Long Halloween, Part One E514672 entity
Predicate mainCharacter P1183 FINISHED
Object Harvey Dent 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: Harvey Dent | Statement: [Batman: The Long Halloween, Part One, mainCharacter, Harvey Dent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvey Dent
Context triple: [Batman: The Long Halloween, Part One, mainCharacter, Harvey Dent]
  • A. Harvey Dent chosen
    Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
  • B. Rich Gotham
    Rich Gotham is an American sports executive best known for serving as the president of the NBA’s Boston Celtics.
  • C. Hardy Justice
    Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
  • D. James Gordon
    James Gordon is Gotham City's principled police commissioner and a key ally of Batman in the fight against crime and corruption.
  • E. James Gordon
    James Gordon is a senior executive and key decision-maker at Clearlake Capital, a prominent private equity and investment firm.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fc5d488190b62f51c35e768d38 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.