Triple

T10806778
Position Surface form Disambiguated ID Type / Status
Subject Gisèle Galante E254986 entity
Predicate givenName P17 FINISHED
Object Gisèle
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
 E895909 NE FINISHED

How this triple was built (4 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: Gisèle | Statement: [Gisèle Galante, givenName, Gisèle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gisèle
Context triple: [Gisèle Galante, givenName, Gisèle]
  • A. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • B. Odile
    Odile is the shy, enigmatic young woman who becomes entangled with two small-time crooks in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • C. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Mireille
    Mireille is a five-act French opera by Charles Gounod, based on Frédéric Mistral’s Provençal poem "Mirèio."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gisèle
Triple: [Gisèle Galante, givenName, Gisèle]
Generated description
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gisèle
Target entity description: Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • A. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • B. Odile
    Odile is the shy, enigmatic young woman who becomes entangled with two small-time crooks in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • C. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Mireille
    Mireille is a five-act French opera by Charles Gounod, based on Frédéric Mistral’s Provençal poem "Mirèio."
  • F. None of above. chosen

Provenance (5 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b3f92c8190bcc85db22d77bb7d completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b5e37588190be7a7b571f5565c7 completed April 17, 2026, 1:53 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:18 p.m.