Triple

T11460324
Position Surface form Disambiguated ID Type / Status
Subject Bill Pankow E271639 entity
Predicate notableWork P4 FINISHED
Object Casualties of War E247486 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: Casualties of War | Statement: [Bill Pankow, notableWork, Casualties of War]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casualties of War
Context triple: [Bill Pankow, notableWork, Casualties of War]
  • A. Casualties of War chosen
    Casualties of War is a 1989 war drama film directed by Brian De Palma that portrays a harrowing true story of moral conflict and atrocity during the Vietnam War.
  • B. The Victims of War
    The Victims of War is a politically charged painting by Mexican muralist David Alfaro Siqueiros that powerfully condemns the human suffering and brutality caused by armed conflict.
  • C. Witness to War
    Witness to War is a documentary-style film by Australian artist and filmmaker George Gittoes that explores the human impact and brutal realities of armed conflict.
  • D. Our War
    "Our War" is a nonfiction book by journalist and activist David Harris that offers a personal and political account of the Vietnam War era and the American antiwar movement.
  • E. The Face of War
    The Face of War is a collection of Martha Gellhorn’s vivid, first-hand war reportage spanning multiple conflicts in the mid-20th century.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f384f08190b1150ed1389dd31a completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e91f1bb881909a9c36d837e4059b completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.