Triple

T13276748
Position Surface form Disambiguated ID Type / Status
Subject Le Soupirant E316209 entity
Predicate productionCompany P490 FINISHED
Object C.A.P.A.C.
C.A.P.A.C. is a film production company involved in creating and financing motion picture projects such as "Le Soupirant."
E1031779 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: C.A.P.A.C. | Statement: [Le Soupirant, productionCompany, C.A.P.A.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C.A.P.A.C.
Context triple: [Le Soupirant, productionCompany, C.A.P.A.C.]
  • A. CAPCA
    CAPCA is the French intercommunal structure known as the Communauté d’agglomération Privas Centre Ardèche, which coordinates local governance and development for the Privas–Centre Ardèche area.
  • B. CAPA
    CAPA is a regional body that brings together Anglican provinces across the Americas and the Caribbean for coordination, fellowship, and joint mission.
  • C. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • D. CADA
    CADA is a college focused on education and research in architecture, design, visual arts, and performing arts.
  • E. CAP
    CAP (Common Alerting Protocol) is an international XML-based data format used for exchanging public warnings and emergency alerts across different systems and networks.
  • 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: C.A.P.A.C.
Triple: [Le Soupirant, productionCompany, C.A.P.A.C.]
Generated description
C.A.P.A.C. is a film production company involved in creating and financing motion picture projects such as "Le Soupirant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C.A.P.A.C.
Target entity description: C.A.P.A.C. is a film production company involved in creating and financing motion picture projects such as "Le Soupirant."
  • A. CAPCA
    CAPCA is the French intercommunal structure known as the Communauté d’agglomération Privas Centre Ardèche, which coordinates local governance and development for the Privas–Centre Ardèche area.
  • B. CAPA
    CAPA is a regional body that brings together Anglican provinces across the Americas and the Caribbean for coordination, fellowship, and joint mission.
  • C. CADA
    CADA is a college focused on education and research in architecture, design, visual arts, and performing arts.
  • D. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • E. CAP
    CAP (Common Alerting Protocol) is an international XML-based data format used for exchanging public warnings and emergency alerts across different systems and networks.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f713088cc48190b705336339527f46 completed May 3, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69f713bd94048190a61dbd955bd1c542 completed May 3, 2026, 9:22 a.m.
Created at: April 9, 2026, 9:26 p.m.