Triple
T32256087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilles Caron |
E824025
|
entity |
| Predicate | subjectOf |
P38
|
FINISHED |
| Object |
Gilles Caron Foundation
The Gilles Caron Foundation is a cultural and archival institution dedicated to preserving, promoting, and disseminating the photographic work and legacy of French photojournalist Gilles Caron.
|
E1999160
|
NE FINISHED |
How this triple was built (2 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 Caron Foundation | Statement: [Gilles Caron, subjectOf, Gilles Caron Foundation]
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 Caron Foundation Triple: [Gilles Caron, subjectOf, Gilles Caron Foundation]
Generated description
The Gilles Caron Foundation is a cultural and archival institution dedicated to preserving, promoting, and disseminating the photographic work and legacy of French photojournalist Gilles Caron.
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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc5395408190b262f7a8f85e9285 |
completed | May 3, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46d5d8b881908c63c993b12eddb6 |
completed | June 15, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a2f47c3cf7c8190b87bb1fbe0b392dc |
completed | June 15, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f4841adc08190bb640f6efb2359a0 |
completed | June 15, 2026, 12:33 a.m. |
Created at: May 1, 2026, 12:41 a.m.