Triple
T5743585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cible émouvante |
E126673
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Patachou
Patachou was a celebrated French singer, actress, and Parisian cabaret owner known for her warm voice and interpretations of classic chanson.
|
E546004
|
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: Patachou | Statement: [Cible émouvante, castMember, Patachou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patachou Context triple: [Cible émouvante, castMember, Patachou]
-
A.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
B.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
C.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
-
D.
Verdolagas
Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
-
E.
Matucana
Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
- 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: Patachou Triple: [Cible émouvante, castMember, Patachou]
Generated description
Patachou was a celebrated French singer, actress, and Parisian cabaret owner known for her warm voice and interpretations of classic chanson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patachou Target entity description: Patachou was a celebrated French singer, actress, and Parisian cabaret owner known for her warm voice and interpretations of classic chanson.
-
A.
Naranjal
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
B.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
C.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
-
D.
Verdolagas
Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
-
E.
Matucana
Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02586b25c819083c409ce324268cc |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e2196e08190a38e1c6871e71acd |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c088eaf20c8190a8ed785ebab047af |
completed | March 23, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08945dd48819096453dc14fda13d0 |
completed | March 23, 2026, 12:28 a.m. |
Created at: March 22, 2026, 3:48 p.m.