Triple
T14582449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxanne Lee |
E342224
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Whistler |
E924926
|
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: Whistler | Statement: [Roxanne Lee, notableWork, Whistler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whistler Context triple: [Roxanne Lee, notableWork, Whistler]
-
A.
Whistler
Whistler is a renowned resort town in British Columbia, Canada, famous for its world-class skiing, mountain biking, and outdoor recreation.
-
B.
Whistler
Whistler is a small unincorporated community located in Mobile County, Alabama, known historically as a railroad town.
-
C.
Whistler
Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
-
D.
Whistler
chosen
Whistler is a surname most famously associated with the American-born artist James McNeill Whistler and his relatives, including Beatrice Whistler.
-
E.
Whitemark
Whitemark is the principal township and administrative centre of Flinders Island in Tasmania, Australia.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ba235c81909e0408ccf2be9628 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.