Triple

T6712440
Position Surface form Disambiguated ID Type / Status
Subject Branko Lustig E153177 entity
Predicate workedOn P3 FINISHED
Object The Peacemaker E613153 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 Peacemaker | Statement: [Branko Lustig, workedOn, The Peacemaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Peacemaker
Context triple: [Branko Lustig, workedOn, The Peacemaker]
  • A. The Peacemaker
    The Peacemaker is the legendary spiritual leader credited with uniting the Haudenosaunee (Iroquois) nations under the Great Law of Peace.
  • B. The Peacemaker chosen
    The Peacemaker is a 1997 American action-thriller film about U.S. efforts to prevent nuclear terrorism, notable as the first film released by DreamWorks Pictures.
  • C. Peacemaker
    "Peacemaker" is a song by the American punk rock band Green Day from their 2009 album *21st Century Breakdown*.
  • D. Peacemaker
    Peacemaker is a violent, darkly comedic antihero from DC Comics known for his extreme, ironic dedication to achieving peace through any means necessary, including lethal force.
  • E. Guardian of the Universe
    Guardian of the Universe is an epithet for Gamera, the giant flying turtle kaiju from Japanese films who protects humanity from monstrous threats.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af8a8bc81908a04683dbf3d7793 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.