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.