Triple

T13716628
Position Surface form Disambiguated ID Type / Status
Subject One War E328917 entity
Predicate title P38 FINISHED
Object One War E328917 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: One War | Statement: [One War, title, One War]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One War
Context triple: [One War, title, One War]
  • A. One War chosen
    One War is a Russian film directed by Vera Glagoleva that portrays the struggles and moral complexities faced by women during World War II.
  • B. The War
    The War is a 1994 American drama film starring Kevin Costner and Elijah Wood that explores the lasting emotional impact of the Vietnam War on a Southern family.
  • C. The War
    The War is a documentary film series by Ken Burns that chronicles the experiences of American soldiers and civilians during World War II.
  • D. A War
    A War is a 2015 Danish war drama film directed by Tobias Lindholm that explores the moral and legal consequences faced by a Danish army commander after a controversial decision made during a mission in Afghanistan.
  • E. Krieg
    Krieg is a hulking, battle-hardened boxer character portrayed by Florian Munteanu in the Creed film 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.