Triple
T16329411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inês |
E396508
|
entity |
| Predicate | cognateOf |
P8954
|
FINISHED |
| Object | Agnès |
E499651
|
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: Agnès | Statement: [Inês, cognateOf, Agnès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnès Context triple: [Inês, cognateOf, Agnès]
-
A.
Agnès
chosen
Agnès is the naive young ward in Molière’s comedy "L’École des femmes," whose sheltered upbringing and awakening to love drive the play’s central conflict.
-
B.
Gisèle
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
C.
Nathalie
Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
-
D.
Bénédicte
Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
-
E.
Magda de Civry
Magda de Civry is the sophisticated Parisian courtesan who serves as the central tragic heroine in Giacomo Puccini’s opera *La rondine*.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c4ca7ac819098cae8aabfe7e395 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:07 a.m.