Triple
T10728422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon Wolin |
E253010
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wolin |
E110595
|
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: Wolin | Statement: [Sheldon Wolin, familyName, Wolin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolin Context triple: [Sheldon Wolin, familyName, Wolin]
-
A.
Wolin
chosen
Wolin is a large Baltic Sea island in northwestern Poland known for its national park, seaside resorts, and archaeological sites linked to early Slavic and Viking-era settlements.
-
B.
Nowra
Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
-
C.
Ostrower
Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
-
D.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
-
E.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc92a18819089cc67afee1c9b96 |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2297f7a48190b194f7e611d0682b |
completed | April 14, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:14 p.m.