Triple

T5353433
Position Surface form Disambiguated ID Type / Status
Subject Batman Forever E102630 entity
Predicate character P662 FINISHED
Object Harvey Dent E126865 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: Harvey Dent | Statement: [Batman Forever, character, Harvey Dent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvey Dent
Context triple: [Batman Forever, character, 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. Two-Face
    Two-Face is a prominent Batman supervillain from DC Comics, formerly Gotham City district attorney Harvey Dent, whose scarred dual visage and coin-flipping obsession embody his split between justice and criminality.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.