Triple

T6379815
Position Surface form Disambiguated ID Type / Status
Subject Battle Studies E143551 entity
Predicate hasPart P35 FINISHED
Object Assassin E532112 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: Assassin | Statement: [Battle Studies, hasPart, Assassin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assassin
Context triple: [Battle Studies, hasPart, Assassin]
  • A. Assassin chosen
    Assassin is a rapper known for his energetic delivery and collaborations within the hip-hop and dancehall scenes.
  • B. The Assassin
    The Assassin is the alternative title of "Venetian Bird," a 1952 British film noir thriller directed by Ralph Thomas and set against the backdrop of postwar Venice.
  • C. Assassins
    Assassins is a darkly satirical musical by Stephen Sondheim that explores the lives and motivations of individuals who attempted to assassinate U.S. presidents.
  • D. Assassins
    "Assassins" is a 1995 action thriller film, directed by Richard Donner and written in part by the Wachowskis, about a veteran hitman targeted by a younger assassin.
  • E. The Just Assassins
    The Just Assassins is a 1949 play by Albert Camus that dramatizes the moral and political dilemmas of Russian revolutionaries debating the ethics of political violence.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.