Triple

T20226741
Position Surface form Disambiguated ID Type / Status
Subject Ralph Peace E495403 entity
Predicate fictionalUniverse P3758 FINISHED
Object Sula 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: Sula | Statement: [Ralph Peace, fictionalUniverse, Sula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sula
Context triple: [Ralph Peace, fictionalUniverse, Sula]
  • A. Sula
    Sula is a coastal municipality in Møre og Romsdal county, Norway, known for its fishing industry, maritime heritage, and scenic island landscapes.
  • B. 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.
  • C. Sula
    Sula is a genus of large seabirds known as boobies, characterized by their strong diving ability and predominantly tropical oceanic distribution.
  • D. Song of Solomon
    Song of Solomon is a critically acclaimed novel by Toni Morrison that explores African American identity, family history, and the search for personal freedom through the life of its protagonist, Milkman Dead.
  • E. Song of Solomon
    Song of Solomon is a poetic book of the Old Testament that celebrates romantic love and intimacy through richly metaphorical dialogue between lovers.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fda9428819098467e7e8c547a07 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.