Triple

T14027722
Position Surface form Disambiguated ID Type / Status
Subject Camille d'Hostun, duc de Tallard E337504 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, duc de Tallard, givenName, Camille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camille
Context triple: [Camille d'Hostun, duc de Tallard, givenName, Camille]
  • A. Camille
    Camille is a classic 1936 romantic drama film starring Greta Garbo as a tragic Parisian courtesan.
  • B. 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.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc333b7a08190b4f121fef69f7513 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.