Triple
T18102620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Gabriel Eynard |
E433262
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eynard |
E433262
|
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: Eynard | Statement: [Jean-Gabriel Eynard, familyName, Eynard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eynard Context triple: [Jean-Gabriel Eynard, familyName, Eynard]
-
A.
Eynard
chosen
Eynard was a notable Philhellene known for his support of the Greek cause during the Greek War of Independence.
-
B.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
C.
Sagnier
Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
-
D.
Artouste
Artouste is a small ski resort in the French Pyrenees known for its scenic slopes overlooking the Ossau Valley and its historic mountain railway.
-
E.
Berenger
Berenger is a masculine given name and surname of Germanic origin, commonly found in various European cultures with multiple spelling variants.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb7be948190b4ed4586f731d6f2 |
completed | April 19, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035da76a448190909d04d8ecff3a33 |
completed | May 12, 2026, 5:04 p.m. |
Created at: April 10, 2026, 10:28 a.m.