Triple
T15431164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Bibesco |
E369642
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bibesco |
E126374
|
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: Bibesco | Statement: [Elizabeth Bibesco, familyName, Bibesco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibesco Context triple: [Elizabeth Bibesco, familyName, Bibesco]
-
A.
Société Anonyme
Société Anonyme is a common French corporate structure for large, share-based companies with limited liability and publicly tradable shares.
-
B.
Louis Dreyfus Company
Louis Dreyfus Company is a major global agricultural commodities trading and processing firm and one of the world’s leading agribusiness groups.
-
C.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
D.
Rothschild
chosen
Rothschild is the surname of a prominent European Jewish family historically known for its influential banking dynasty and significant roles in finance, politics, and philanthropy.
-
E.
Luxco
Luxco is an American beverage alcohol company best known for producing and marketing a portfolio of spirits brands, including bourbons, whiskeys, and liqueurs.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8546948190a69ae1306bc19c64 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:21 a.m.