Triple

T6097644
Position Surface form Disambiguated ID Type / Status
Subject Bane E135916 entity
Predicate portrayedBy P1507 FINISHED
Object Tom Hardy E52981 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: Tom Hardy | Statement: [Bane, portrayedBy, Tom Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hardy
Context triple: [Bane, portrayedBy, Tom Hardy]
  • A. Tom Hardy chosen
    Tom Hardy is an acclaimed English actor known for his intense, transformative performances in films such as Inception, Mad Max: Fury Road, and The Dark Knight Rises.
  • B. Cillian Murphy
    Cillian Murphy is an Irish actor known for his intense, transformative performances in film and television, including roles in "Peaky Blinders," "28 Days Later," and numerous Christopher Nolan movies.
  • C. Dominic Cooper
    Dominic Cooper is an English actor known for his roles in films such as "Mamma Mia!" and "The Devil's Double," as well as the TV series "Preacher."
  • D. Robert Pattinson
    Robert Pattinson is an English actor best known for his roles as vampire Edward Cullen in the Twilight film series and as the title character in the 2022 superhero film "The Batman."
  • E. Christian Bale
    Christian Bale is an acclaimed British actor known for his intense method acting and transformative roles in films such as "American Psycho," "The Dark Knight" trilogy, and "The Fighter."
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a987ce081908cbe22940f31ee2f completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254365708190b8feb95dfb2b730d completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.