Triple
T14455682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priceless |
E358452
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Gilles Henry
Gilles Henry is a cinematographer known for his work on the film "Priceless."
|
E1173976
|
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: Gilles Henry | Statement: [Priceless, cinematography, Gilles Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilles Henry Context triple: [Priceless, cinematography, Gilles Henry]
-
A.
Gilles Mahé
Gilles Mahé is a French local politician who serves as the mayor of the town of Chalonnes-sur-Loire in western France.
-
B.
Jean-Claude Charbonel
Jean-Claude Charbonel is a French surrealist artist associated with the Parisian Surrealist movement.
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
-
E.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
- 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: Gilles Henry Triple: [Priceless, cinematography, Gilles Henry]
Generated description
Gilles Henry is a cinematographer known for his work on the film "Priceless."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gilles Henry Target entity description: Gilles Henry is a cinematographer known for his work on the film "Priceless."
-
A.
Gilles Mahé
Gilles Mahé is a French local politician who serves as the mayor of the town of Chalonnes-sur-Loire in western France.
-
B.
Jean-Claude Charbonel
Jean-Claude Charbonel is a French surrealist artist associated with the Parisian Surrealist movement.
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Michel Bouvier
Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
-
E.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dfbc28819090cf56f16b5e7c39 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83d929a48190aea75597b864d210 |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 1:19 a.m.