Triple
T20425155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endon and Stanley |
E500978
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Stanley |
—
|
NE NERFINISHED |
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: Stanley | Statement: [Endon and Stanley, hasVillage, Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanley Context triple: [Endon and Stanley, hasVillage, Stanley]
-
A.
Stanley
Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
-
B.
Stanley
Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
-
C.
Stanley
Stanley is a well-known tool and hardware brand that has served as a prominent sponsor in NASCAR and other major motorsports.
-
D.
Stanley
"Stanley" is a 1972 American horror film in which Zohra Lampert stars in a story about a Seminole man who uses his pet snakes for revenge.
-
E.
Stanley
chosen
Stanley is a village located within the Borough of Erewash in Derbyshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba7afa4819095c9b75fab3cbbfc |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.