Triple
T14413556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personal Shopper |
E357389
|
entity |
| Predicate | soundDesignBy |
P32563
|
FINISHED |
| Object |
Nicolas Cantin
Nicolas Cantin is a sound designer known for his work on the film "Personal Shopper."
|
E1097675
|
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: Nicolas Cantin | Statement: [Personal Shopper, soundDesignBy, Nicolas Cantin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Cantin Context triple: [Personal Shopper, soundDesignBy, Nicolas Cantin]
-
A.
Nicolas Talar
Nicolas Talar is a French music and theater producer best known for bringing the hit musical "Notre-Dame de Paris" to the stage.
-
B.
Nicolas Lacombe
Nicolas Lacombe is a French local politician who serves as the mayor of the town of Nérac in southwestern France.
-
C.
Nicolas Carone
Nicolas Carone was an American abstract painter and influential member of the New York School known for his lyrical, gestural works and role as a teacher and mentor to other artists.
-
D.
Yannick Jauzion
Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
-
E.
Nicolas Bardo
Nicolas Bardo is a central character in Brian De Palma’s neo-noir thriller "Femme Fatale," portrayed as a photographer who becomes entangled in a complex web of deception and intrigue.
- 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: Nicolas Cantin Triple: [Personal Shopper, soundDesignBy, Nicolas Cantin]
Generated description
Nicolas Cantin is a sound designer known for his work on the film "Personal Shopper."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicolas Cantin Target entity description: Nicolas Cantin is a sound designer known for his work on the film "Personal Shopper."
-
A.
Nicolas Talar
Nicolas Talar is a French music and theater producer best known for bringing the hit musical "Notre-Dame de Paris" to the stage.
-
B.
Nicolas Lacombe
Nicolas Lacombe is a French local politician who serves as the mayor of the town of Nérac in southwestern France.
-
C.
Nicolas Carone
Nicolas Carone was an American abstract painter and influential member of the New York School known for his lyrical, gestural works and role as a teacher and mentor to other artists.
-
D.
Yannick Jauzion
Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
-
E.
Nicolas Bardo
Nicolas Bardo is a central character in Brian De Palma’s neo-noir thriller "Femme Fatale," portrayed as a photographer who becomes entangled in a complex web of deception and intrigue.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552858208190ba1550e7c1176a2a |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671e4688190ab1b7a7ed6c0cfb8 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 10, 2026, 1:17 a.m.