Triple

T20666929
Position Surface form Disambiguated ID Type / Status
Subject Agnostic Front E507915 entity
Predicate associatedAct P37 FINISHED
Object Warzone NE NERFINISHED

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: Warzone | Statement: [Agnostic Front, associatedAct, Warzone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warzone
Context triple: [Agnostic Front, associatedAct, Warzone]
  • A. Warzone chosen
    Warzone was a New York City hardcore punk band known for its influential role in the late-1980s hardcore scene and its association with the straight edge and skinhead subcultures.
  • B. The Warzone
    The Warzone is a hip hop group associated with the West Coast rap scene that includes rapper Goldie Loc among its members.
  • C. The War Zone
    The War Zone is a 1999 British drama film, adapted from Alexander Stuart’s novel, that starkly explores familial abuse and trauma.
  • D. In a Warzone
    "In a Warzone" is a 2013 studio album by the American punk rock band Transplants, known for its aggressive blend of punk, hip hop, and hardcore influences.
  • E. Battlelines
    Battlelines is a political memoir and policy manifesto by former Australian Prime Minister Tony Abbott, outlining his ideological views and vision for Australia's future.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.