Triple
T9759580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolat |
E236634
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Aurelien Parent Koenig
Aurelien Parent Koenig is an actor known for his role in the film "Chocolat."
|
E820562
|
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: Aurelien Parent Koenig | Statement: [Chocolat, portrayedBy, Aurelien Parent Koenig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurelien Parent Koenig Context triple: [Chocolat, portrayedBy, Aurelien Parent Koenig]
-
A.
Mathieu Klein
Mathieu Klein is a French politician known for serving as the mayor of the city of Nancy.
-
B.
Ker-Xavier Roussel
Ker-Xavier Roussel was a French Nabi painter known for his decorative, symbolist-influenced landscapes and intimate domestic scenes.
-
C.
Benoit Jacob
Benoit Jacob is an automotive designer best known for leading the design of BMW’s innovative electric i-series models, including the BMW i3.
-
D.
Jérémy Chatelain
Jérémy Chatelain is a French singer, songwriter, and former reality TV contestant who gained fame after appearing on the show "Star Academy."
-
E.
Julien Hirsch
Julien Hirsch is a French cinematographer known for his work on numerous art-house and auteur films, including collaborations with directors like Jean-Luc Godard.
- 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: Aurelien Parent Koenig Triple: [Chocolat, portrayedBy, Aurelien Parent Koenig]
Generated description
Aurelien Parent Koenig is an actor known for his role in the film "Chocolat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aurelien Parent Koenig Target entity description: Aurelien Parent Koenig is an actor known for his role in the film "Chocolat."
-
A.
Mathieu Klein
Mathieu Klein is a French politician known for serving as the mayor of the city of Nancy.
-
B.
Ker-Xavier Roussel
Ker-Xavier Roussel was a French Nabi painter known for his decorative, symbolist-influenced landscapes and intimate domestic scenes.
-
C.
Benoit Jacob
Benoit Jacob is an automotive designer best known for leading the design of BMW’s innovative electric i-series models, including the BMW i3.
-
D.
Jérémy Chatelain
Jérémy Chatelain is a French singer, songwriter, and former reality TV contestant who gained fame after appearing on the show "Star Academy."
-
E.
Julien Hirsch
Julien Hirsch is a French cinematographer known for his work on numerous art-house and auteur films, including collaborations with directors like Jean-Luc Godard.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcdbdbcc8190b2c454729a50f7fb |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1be0b960c8190a3c24c8c80cfbe9d |
completed | April 5, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bec20dec8190be32069ddf94b915 |
completed | April 5, 2026, 1:45 a.m. |
Created at: March 30, 2026, 8:24 p.m.