Triple

T8342231
Position Surface form Disambiguated ID Type / Status
Subject Therese E195946 entity
Predicate derivedFrom P909 FINISHED
Object Thérèse (with acute accent) E195946 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: Thérèse (with acute accent) | Statement: [Therese, derivedFrom, Thérèse (with acute accent)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thérèse (with acute accent)
Context triple: [Therese, derivedFrom, Thérèse (with acute accent)]
  • A. Therese chosen
    Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
  • B. Thérèse DePrez
    Thérèse DePrez was an American production designer known for her distinctive visual work on films such as "Black Swan" and "High Fidelity."
  • C. Aurélia Thierrée
    Aurélia Thierrée is a French actress and circus performer known for her surreal, dreamlike stage shows that blend physical theatre, mime, and illusion.
  • D. Thérèse Desqueyroux
    Thérèse Desqueyroux is a French drama film adaptation of François Mauriac’s novel, centered on a woman trapped in a stifling bourgeois marriage in 1920s provincial France.
  • E. Françoise
    Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe9efec81908e0c9ded3963bac5 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.