Triple

T14744840
Position Surface form Disambiguated ID Type / Status
Subject Jon Avnet E346440 entity
Predicate directed P7373 FINISHED
Object The War E485240 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 War | Statement: [Jon Avnet, directed, The War]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The War
Context triple: [Jon Avnet, directed, The War]
  • A. The War chosen
    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.
  • B. 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.
  • C. 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.
  • D. Odná voyná
    Odná voyná is an alternative title for the 2014 Russian war drama film "One War," which portrays the moral and emotional struggles of women accused of collaborating with the enemy during World War II.
  • E. A Study of War
    A Study of War is Quincy Wright’s landmark scholarly work that systematically analyzes the causes, nature, and prevention of war using historical, legal, and statistical methods.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9638648190a2a3eb255ec5ae28 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.