Triple

T18858775
Position Surface form Disambiguated ID Type / Status
Subject Nicole Fosse E461249 entity
Predicate familyName P18 FINISHED
Object Fosse 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: Fosse | Statement: [Nicole Fosse, familyName, Fosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosse
Context triple: [Nicole Fosse, familyName, Fosse]
  • A. Fosse chosen
    Fosse is a musical revue celebrating the choreography and legacy of director-choreographer Bob Fosse, featuring signature numbers from his stage and film work.
  • B. Fosse
    Fosse is a village that forms one of the constituent localities of the municipality of Trois-Ponts in the province of Liège, Belgium.
  • C. Fosse Dionne
    Fosse Dionne is a historic, enigmatic karst spring and circular stone pool in Tonnerre, France, long associated with legends and notable for its unusually deep, turquoise waters.
  • D. Florenz
    Florenz was the first name of Florenz Ziegfeld Jr., the influential American Broadway impresario best known for creating the Ziegfeld Follies.
  • E. Garfinkle
    Garfinkle is the original surname of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.