Triple

T901438
Position Surface form Disambiguated ID Type / Status
Subject Sula E19454 entity
Predicate hasCharacter P2308 FINISHED
Object Sula Peace E19454 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: Sula Peace | Statement: [Sula, hasCharacter, Sula Peace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sula Peace
Context triple: [Sula, hasCharacter, Sula Peace]
  • A. Sula chosen
    Sula is a 1973 novel by American author Toni Morrison that explores Black female friendship, community, and identity in a small Ohio town.
  • B. 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.
  • C. The Triumph of Peace
    The Triumph of Peace is a 1634 Caroline-era masque by playwright James Shirley, celebrated for its lavish production and allegorical celebration of royal authority and harmony.
  • D. Nueva Paz
    Nueva Paz is a municipality in western Cuba known for its rural character and location within the province surrounding Havana.
  • E. Seeds of Peace
    Seeds of Peace is a book by Thai social activist and Buddhist scholar Sulak Sivaraksa that explores engaged Buddhism, social justice, and nonviolent change.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4412408190a6bf8fc7484a5781 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5a4118819086035d6e250a53cc completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.