Triple

T10718345
Position Surface form Disambiguated ID Type / Status
Subject Cease Fire E252743 entity
Predicate hasTitle P38 FINISHED
Object Cease Fire E252743 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: Cease Fire | Statement: [Cease Fire, hasTitle, Cease Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cease Fire
Context triple: [Cease Fire, hasTitle, Cease Fire]
  • A. Cease Fire
    "Cease Fire" is a song featured on Christina Aguilera's album "Lotus," blending emotive vocals with themes of conflict and reconciliation.
  • B. Soldiers of Peace
    "Soldiers of Peace" is a song featured on the album *American Dream* by Crosby, Stills, Nash & Young.
  • C. No More War
    "No More War" is a reggae track by Jamaican artist Burning Spear from his influential album "Man in the Hills."
  • D. War Without End
    "War Without End" is a book by Michael Klare that analyzes the geopolitical, economic, and military dynamics driving perpetual global conflict in the post–Cold War era.
  • E. Sinews of Peace
    Sinews of Peace is the 1946 speech by Winston Churchill, delivered in Fulton, Missouri, that famously introduced the term "Iron Curtain" to describe the division of postwar Europe.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff36558c81908682adbe7b5dce05 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.