Triple
T6634391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yann Arthus-Bertrand |
E150410
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arthus-Bertrand |
E150410
|
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: Arthus-Bertrand | Statement: [Yann Arthus-Bertrand, familyName, Arthus-Bertrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthus-Bertrand Context triple: [Yann Arthus-Bertrand, familyName, Arthus-Bertrand]
-
A.
Arthus-Bertrand
chosen
Arthus-Bertrand is the hyphenated French family name of photographer and environmentalist Yann Arthus-Bertrand, known for his aerial imagery and ecological advocacy.
-
B.
Roche
Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
-
C.
Roche
Roche is a common surname of French origin borne by various notable individuals across fields such as architecture, politics, and the arts.
-
D.
Hoechst
Hoechst was a major German chemical and pharmaceutical company that later became part of the conglomerate IG Farben.
-
E.
Ciba-Geigy
Ciba-Geigy was a major Swiss pharmaceutical and chemical company that became one of the predecessors of Novartis after its merger with Sandoz in 1996.
- 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.