Triple
T6634265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugène Schueller |
E150406
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schueller |
E150406
|
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: Schueller | Statement: [Eugène Schueller, familyName, Schueller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schueller Context triple: [Eugène Schueller, familyName, Schueller]
-
A.
Schueller
chosen
Schueller is a French surname most notably associated with Eugène Schueller, the chemist and entrepreneur who founded the cosmetics company L’Oréal.
-
B.
Schroda
Schroda is a town in western Poland, historically part of the Prussian Province of Posen, known today as Środa Wielkopolska.
-
C.
Syntex
Syntex was a pioneering pharmaceutical company best known for its role in developing the first oral contraceptive pill and advancing steroid chemistry.
-
D.
Hechtel-Eksel
Hechtel-Eksel is a municipality in the Belgian province of Limburg, known for its extensive forests, nature reserves, and role as a gateway to the Hoge Kempen and Bosland natural areas.
-
E.
Abbott
Abbott is a masculine given name of English origin, historically associated with clerical or religious roles.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf329f08190a3f29c4d4c6aa136 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:59 p.m.