Triple
T14077764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intimacy |
E338781
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Olivier Delbosc
Olivier Delbosc is a French film producer known for his work on numerous acclaimed arthouse and independent films.
|
E1299596
|
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: Olivier Delbosc | Statement: [Intimacy, producer, Olivier Delbosc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Delbosc Context triple: [Intimacy, producer, Olivier Delbosc]
-
A.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Roland Gallois
Roland Gallois is a film editor known for his work on the feature film "Slow West."
-
D.
Pierre Legoupil
Pierre Legoupil was a French naval officer or explorer after whom Cape Legoupil in Antarctica was named, reflecting his role in early polar exploration.
-
E.
Jean-Michel Defaye
Jean-Michel Defaye is a French composer and trombonist known for his film scores and brass music, particularly for trombone.
- 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: Olivier Delbosc Triple: [Intimacy, producer, Olivier Delbosc]
Generated description
Olivier Delbosc is a French film producer known for his work on numerous acclaimed arthouse and independent films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivier Delbosc Target entity description: Olivier Delbosc is a French film producer known for his work on numerous acclaimed arthouse and independent films.
-
A.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Roland Gallois
Roland Gallois is a film editor known for his work on the feature film "Slow West."
-
D.
Pierre Legoupil
Pierre Legoupil was a French naval officer or explorer after whom Cape Legoupil in Antarctica was named, reflecting his role in early polar exploration.
-
E.
Jean-Michel Defaye
Jean-Michel Defaye is a French composer and trombonist known for his film scores and brass music, particularly for trombone.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a033793575c8190be752006eedb383a |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033895a86c8190958ce991e6d8ee53 |
completed | May 12, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033cb498248190a3805cd356832cd0 |
completed | May 12, 2026, 2:44 p.m. |
Created at: April 9, 2026, 10:21 p.m.