Triple
T6407043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginie Amélie Avegno Gautreau |
E127609
|
entity |
| Predicate | languageOfSocialCircle |
P741
|
FINISHED |
| Object | French |
—
|
LITERAL 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: French | Statement: [Virginie Amélie Avegno Gautreau, languageOfSocialCircle, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSocialCircle Context triple: [Virginie Amélie Avegno Gautreau, languageOfSocialCircle, French]
-
A.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
-
B.
languagesSpoken
chosen
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
D.
identityLanguage
Indicates that two language entities are identical or represent the same language.
-
E.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
- F. None of above.
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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068b3541c8190be89b24b313d7300 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.