Triple
T10542467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynda Resnick |
E248729
|
entity |
| Predicate | hasBusinessInterest |
P1074
|
FINISHED |
| Object | FIJI Water |
E410574
|
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: FIJI Water | Statement: [Lynda Resnick, hasBusinessInterest, FIJI Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIJI Water Context triple: [Lynda Resnick, hasBusinessInterest, FIJI Water]
-
A.
Fiji Water
chosen
Fiji Water is a premium bottled water brand sourced from an artesian aquifer in Fiji and marketed worldwide for its purity and distinctive square bottles.
-
B.
Nestlé Waters
Nestlé Waters is the bottled water division of Nestlé, responsible for producing and marketing a wide portfolio of still and sparkling water brands worldwide.
-
C.
Aquafina
Aquafina is a popular brand of purified bottled drinking water owned and marketed by PepsiCo.
-
D.
Smartwater
Smartwater is a popular premium bottled water brand known for its vapor-distilled water with added electrolytes for taste, marketed as a clean, crisp hydration option.
-
E.
Sierra Mist
Sierra Mist is a lemon-lime flavored soft drink brand produced by PepsiCo as a competitor to Sprite and 7UP.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9342e6cf48190b0ca53ff2a4e0214 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.