Triple
T20166371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Théophile Seyrig |
E491833
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Théophile |
—
|
NE NERFINISHED |
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: Théophile | Statement: [Théophile Seyrig, givenName, Théophile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Théophile Context triple: [Théophile Seyrig, givenName, Théophile]
-
A.
Théophile
chosen
Théophile is the given name of Belgian Neo-Impressionist painter Théo van Rysselberghe, a key figure in the development of Pointillism.
-
B.
Théophile
Théophile is a philosophical interlocutor in Leibniz’s *Nouveaux essais sur l’entendement humain*, representing Leibniz’s own rationalist views in dialogue form.
-
C.
Théodore
Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
-
D.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
E.
Félicien
Félicien is a masculine given name of French origin, notably borne by the 19th-century Belgian artist and printmaker Félicien Rops.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.