Triple
T6641929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard |
E150605
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Gérard |
E327411
|
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: Gérard | Statement: [Gerard, hasCognate, Gérard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gérard Context triple: [Gerard, hasCognate, Gérard]
-
A.
Gérard
chosen
Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
-
B.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
C.
Xavier Fabre
Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
-
D.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
E.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff5da8881909a512c1c82eb882a |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7918c208190924c1906c7886a2c |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2 p.m.