Triple
T9437634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Mills |
E227553
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wendy Mills |
E227553
|
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: Wendy Mills | Statement: [Wendy Mills, name, Wendy Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Mills Context triple: [Wendy Mills, name, Wendy Mills]
-
A.
Wendy Mills
chosen
Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
-
B.
Wendy Ferguson
Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
-
C.
Wendy Alden
Wendy Alden is the central protagonist of the 2012 horror-thriller film "Shiver," a timid young woman forced to confront a sadistic serial killer who targets her.
-
D.
Wendy Cheesman
Wendy Cheesman was a British architect and the first wife and early professional collaborator of renowned architect Norman Foster.
-
E.
Wendy Benchley
Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7edff5e881909b72976e8909ba4b |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1225345488190a1fee54f6feb321d |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:50 p.m.