Triple

T13278499
Position Surface form Disambiguated ID Type / Status
Subject Camille d’Hostun de la Baume E316254 entity
Predicate givenName P17 FINISHED
Object Camille E114928 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: Camille | Statement: [Camille d’Hostun de la Baume, givenName, Camille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camille
Context triple: [Camille d’Hostun de la Baume, givenName, Camille]
  • A. Camille chosen
    Camille is a French given name used for both males and females, historically associated with figures such as the revolutionary journalist Camille Desmoulins.
  • B. Camille
    Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
  • C. Camille
    Camille is a character in Tennessee Williams’ play "Camino Real," a dreamlike drama set in a surreal, decaying town.
  • D. Camille Roux
    Camille Roux was an artist associated with the Impressionist movement who participated in the historic Impressionist exhibitions in late 19th-century France.
  • E. Camille Henry
    Camille Henry was a skilled Canadian ice hockey center best known for his prolific scoring with the New York Rangers in the 1950s and 1960s.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.