Triple

T6106949
Position Surface form Disambiguated ID Type / Status
Subject John Milius E136138 entity
Predicate directorOf P537 FINISHED
Object Red Dawn E568743 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: Red Dawn | Statement: [John Milius, directorOf, Red Dawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Dawn
Context triple: [John Milius, directorOf, Red Dawn]
  • A. Red Dawn chosen
    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.
  • B. Red Dawn (2012 film)
    Red Dawn (2012 film) is an action war remake of the 1984 film, depicting a group of American teenagers fighting a foreign invasion of the United States.
  • C. Tigerland
    Tigerland is a 2000 war drama film directed by Joel Schumacher that helped launch Colin Farrell to wider recognition through his acclaimed leading performance.
  • D. 12 Strong
    12 Strong is a 2018 war drama film depicting a U.S. Special Forces team's covert mission in Afghanistan shortly after the September 11 attacks.
  • E. 5 Days of War
    5 Days of War is a 2011 action-war film depicting the 2008 Russo-Georgian conflict through the perspective of an American journalist.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1415ce66081908c68088911f91854 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:13 p.m.