Triple

T8575969
Position Surface form Disambiguated ID Type / Status
Subject Michael Peña E203047 entity
Predicate notableWork P4 FINISHED
Object Battle: Los Angeles E565371 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: Battle: Los Angeles | Statement: [Michael Peña, notableWork, Battle: Los Angeles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battle: Los Angeles
Context triple: [Michael Peña, notableWork, Battle: Los Angeles]
  • A. Battle: Los Angeles chosen
    Battle: Los Angeles is a 2011 science-fiction action film depicting a Marine platoon's fight to repel a massive alien invasion in Los Angeles.
  • B. Battle for Los Angeles
    Battle for Los Angeles is the nickname for the historic college football rivalry game between the UCLA Bruins and the USC Trojans in Los Angeles.
  • C. Defiance
    Defiance is a 2008 World War II drama film about Jewish partisans resisting Nazi forces in Eastern Europe.
  • D. Red Dawn
    Red Dawn is a 1984 American war film depicting a group of small-town teenagers who form a guerrilla resistance after a Soviet-led invasion of the United States.
  • E. Act of Valor
    Act of Valor is a 2012 American action film notable for its realistic depiction of modern warfare and its use of active-duty U.S. Navy SEALs in leading roles.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9638c081909a537cc44e485bee completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce899dd7d48190b44338b92ad68bd0 completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:21 p.m.