Triple

T7007623
Position Surface form Disambiguated ID Type / Status
Subject Logan Lerman E162496 entity
Predicate notableWork P4 FINISHED
Object Fury E145086 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: Fury | Statement: [Logan Lerman, notableWork, Fury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fury
Context triple: [Logan Lerman, notableWork, Fury]
  • A. Fury
    Fury is a 1936 American crime drama film directed by Fritz Lang, often regarded as his first major Hollywood work and a powerful critique of mob justice.
  • B. Fury
    Fury is a novel by Salman Rushdie that explores themes of identity, rage, and dislocation through the story of an Indian-born academic living in New York City.
  • C. Fury chosen
    Fury is a 2014 World War II war film directed by David Ayer, starring Brad Pitt and Scott Eastwood, that follows a U.S. tank crew on a dangerous mission in Nazi Germany.
  • D. The Fury
    The Fury is a 1978 supernatural horror-thriller film directed by Brian De Palma, known for its intense psychic powers storyline and stylized violence.
  • E. Valkyrie
    Valkyrie is a fierce Asgardian warrior and member of the Valkyrior in the Marvel Cinematic Universe, known for her combat prowess, complex past, and eventual role as a key ally of Thor.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc36e3fc8190957445132a9ffb5f completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a43c3a081909b9150d36ba107f5 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.