Triple

T18438592
Position Surface form Disambiguated ID Type / Status
Subject Mimi Leder E450461 entity
Predicate notableWork P4 FINISHED
Object The Peacemaker NE NERFINISHED

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: [Mimi Leder, notableWork, The Peacemaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Peacemaker
Context triple: [Mimi Leder, notableWork, 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. The Peacemaker
    The Peacemaker is a science fiction story by Gardner Dozois, recognized for its thoughtful exploration of human conflict and reconciliation in a speculative setting.
  • D. Peacemaker
    "Peacemaker" is a song by the American punk rock band Green Day from their 2009 album *21st Century Breakdown*.
  • E. Peacemaker
    Peacemaker is the nickname of the Convair B-36, a massive Cold War-era American strategic bomber designed for long-range nuclear deterrence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.