Triple

T12782188
Position Surface form Disambiguated ID Type / Status
Subject the absurd E305533 entity
Predicate describedIn P519 FINISHED
Object The Rebel E305530 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: The Rebel | Statement: [the absurd, describedIn, The Rebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Rebel
Context triple: [the absurd, describedIn, The Rebel]
  • A. The Rebel chosen
    The Rebel is a philosophical essay by Albert Camus that explores the nature of rebellion and revolution and their implications for human freedom and morality.
  • B. The Rebel
    The Rebel is a 1961 British comedy film starring Tony Hancock as an office worker who abandons his mundane life to pursue a deluded career as a modern artist in Paris.
  • C. The Rebels
    The Rebels is the nickname of Worthing F.C., an English football club based in Worthing, West Sussex.
  • D. The Rebels
    The Rebels were the backing band for American rock and roll guitarist Duane Eddy, known for supporting his distinctive twangy instrumental hits in the late 1950s and early 1960s.
  • E. Rebel
    Rebel is a 2012 Indian Telugu-language action film starring Prabhas, known for its high-octane fight sequences and mass entertainment style.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebc75bc81908bad7fb06af674a9 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:29 p.m.