Triple
T13869855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan Kenton |
E333420
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stanley |
E123677
|
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: Stanley | Statement: [Stan Kenton, givenName, Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanley Context triple: [Stan Kenton, givenName, Stanley]
-
A.
Stanley
Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
-
B.
Stanley
Stanley is a well-known tool and hardware brand that has served as a prominent sponsor in NASCAR and other major motorsports.
-
C.
Stanley
Stanley is the small, windswept port town that serves as the political and economic center of the Falkland Islands in the South Atlantic Ocean.
-
D.
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.
-
E.
Stanley
chosen
Stanley is a masculine given name of Old English origin that has been borne by numerous notable figures, including British statesman Stanley Baldwin.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c105da548190b908a54fec029236 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.