Triple
T19841861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olin Levi Warner |
E476752
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Olin |
E476752
|
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: Olin | Statement: [Olin Levi Warner, givenName, Olin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olin Context triple: [Olin Levi Warner, givenName, Olin]
-
A.
Olin
chosen
Olin is a masculine given name of English origin, historically borne by figures such as the American sculptor Olin Levi Warner.
-
B.
Doane
Doane is a surname most notably associated with William Croswell Doane, the first Episcopal Bishop of Albany and a prominent 19th-century American church leader.
-
C.
Husson
Husson is a small commune in the Manche department of northwestern France, situated within the canton of Le Mortainais.
-
D.
Widener
Widener is an American surname most prominently associated with a wealthy Philadelphia family known for their influence in business, philanthropy, and the arts.
-
E.
Silliman
Silliman is a surname most notably associated with several prominent American figures in law, politics, and education.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65806375c8190a4f45f14aeb06515 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d438c0208190a6d5b6781b99d37e |
completed | May 16, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:51 p.m.