Triple

T22672890
Position Surface form Disambiguated ID Type / Status
Subject Loreak E560266 entity
Predicate musicBy P1952 FINISHED
Object Pascal Gaigne
Pascal Gaigne is a French-born film composer known for his evocative, minimalist scores for Spanish and European cinema.
E1548725 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: Pascal Gaigne | Statement: [Loreak, musicBy, Pascal Gaigne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascal Gaigne
Context triple: [Loreak, musicBy, Pascal Gaigne]
  • A. Martin Leclerc
    Martin Leclerc is the son of renowned Québécois singer-songwriter, poet, and cultural icon Félix Leclerc.
  • B. Olivier Corzani
    Olivier Corzani is a French local politician who serves as the mayor of the commune of Morangis.
  • C. Arnaud Decagny
    Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
  • D. Christophe Fouquet
    Christophe Fouquet is a French business executive and semiconductor industry leader who serves as the chief executive officer of Dutch lithography equipment manufacturer ASML.
  • E. Simon Carpentier
    Simon Carpentier was a French musician and songwriter best known as one half of the indie pop duo Her.
  • 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: Pascal Gaigne
Triple: [Loreak, musicBy, Pascal Gaigne]
Generated description
Pascal Gaigne is a French-born film composer known for his evocative, minimalist scores for Spanish and European cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pascal Gaigne
Target entity description: Pascal Gaigne is a French-born film composer known for his evocative, minimalist scores for Spanish and European cinema.
  • A. Martin Leclerc
    Martin Leclerc is the son of renowned Québécois singer-songwriter, poet, and cultural icon Félix Leclerc.
  • B. Olivier Corzani
    Olivier Corzani is a French local politician who serves as the mayor of the commune of Morangis.
  • C. Arnaud Decagny
    Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
  • D. Christophe Fouquet
    Christophe Fouquet is a French business executive and semiconductor industry leader who serves as the chief executive officer of Dutch lithography equipment manufacturer ASML.
  • E. Simon Carpentier
    Simon Carpentier was a French musician and songwriter best known as one half of the indie pop duo Her.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17821daf88190b18a73a222fc22fb completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73ed2d588190a9d9382c11fbb1a5 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7505c99081908a9faac30451e6e8 completed May 18, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b761510b48190a09722be3fca7e93 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:10 p.m.