Triple

T11996838
Position Surface form Disambiguated ID Type / Status
Subject Eames E285552 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: [Eames, portrayedBy, Tom Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hardy
Context triple: [Eames, 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. Charlie Cavill
    Charlie Cavill is a British public figure best known as the brother of actor Henry Cavill.
  • E. 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."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47281ea7c819081921bc125f8895f completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.