Triple

T21475165
Position Surface form Disambiguated ID Type / Status
Subject Florence Pascal E529841 entity
Predicate name P16 FINISHED
Object Florence Pascal 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: Florence Pascal | Statement: [Florence Pascal, name, Florence Pascal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Pascal
Context triple: [Florence Pascal, name, Florence Pascal]
  • A. Florence Pascal chosen
    Florence Pascal is a person notable enough to be recognized as a bearer of the surname Pascal, though specific widely known biographical details about her are not well documented.
  • B. Florence Pernel
    Florence Pernel is a French actress known for her work in film, television, and theater, including prominent roles in acclaimed European cinema.
  • C. Florence Vassy
    Florence Vassy is a central fictional character in the musical "Chess," portrayed as a strong-willed American woman entangled in a complex love triangle set against the backdrop of Cold War–era international chess competition.
  • D. Florence Maxim
    Florence Maxim was a member of the Maxim family, known primarily as the daughter of Hiram Maxim, the inventor of the Maxim machine gun.
  • E. Florence Sadaune
    Florence Sadaune is a costume designer known for her work on the visually striking French film "Les Amants du Pont-Neuf."
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1737f881908ef7889e9568a4d3 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.