Triple
T5933513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danone |
E131990
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Waters |
E420130
|
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: Waters | Statement: [Danone, hasDivision, Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waters Context triple: [Danone, hasDivision, Waters]
-
A.
Waters
chosen
Waters is a common English surname borne by numerous individuals across various professions and regions.
-
B.
Watkins
Watkins is a surname most prominently associated with Sherron Watkins, the former Enron vice president who became widely known as a corporate whistleblower.
-
C.
Vedder
Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
-
D.
H2O
H2O is a 1982 pop-rock album by American duo Daryl Hall & John Oates, featuring hits like "Maneater" that helped cement their commercial peak in the early 1980s.
-
E.
The Hydro
The Hydro is a major indoor arena in Glasgow, Scotland, renowned for hosting large-scale concerts and entertainment events.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.