Triple
T5490076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Baldwin |
E123678
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baldwin |
E70038
|
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: Baldwin | Statement: [Stanley Baldwin, familyName, Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldwin Context triple: [Stanley Baldwin, familyName, Baldwin]
-
A.
Baldwin
chosen
Baldwin is a common English surname of Anglo-Saxon origin that has been borne by numerous notable figures in literature, politics, and entertainment.
-
B.
Baldwin
Baldwin is a small rural community located within the town of Georgina in Ontario, Canada.
-
C.
Baldwin
Baldwin is a small township and rural community located within Ontario’s Sudbury District in Canada.
-
D.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
-
E.
Butler
Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927dcb848190a9d31e2435f8a755 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48ac6e7881908806f88056409b41 |
completed | March 22, 2026, 1:41 a.m. |
Created at: March 20, 2026, 2:10 p.m.