Triple

T15414347
Position Surface form Disambiguated ID Type / Status
Subject Goldie Loc E369174 entity
Predicate associatedAct P37 FINISHED
Object The Warzone E1155534 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 Warzone | Statement: [Goldie Loc, associatedAct, The Warzone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Warzone
Context triple: [Goldie Loc, associatedAct, The Warzone]
  • A. The Warzone chosen
    The Warzone is a hip hop group associated with the West Coast rap scene that includes rapper Goldie Loc among its members.
  • B. 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.
  • C. 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.
  • D. Battleground
    "Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
  • E. Battlefield V
    Battlefield V is a World War II–themed first-person shooter video game developed by DICE and published by Electronic Arts as part of the long-running Battlefield series.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ea7561481909b04e613e2352f82 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219fabe481909162baba9212ac1f completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:20 a.m.