Triple
T10535469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John M. Olin |
E248551
|
entity |
| Predicate | familyName |
P18
|
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: [John M. Olin, familyName, Olin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olin Context triple: [John M. Olin, familyName, 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.
Shattuck
Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
-
C.
Skidmore
Skidmore is a surname most notably associated with American architect Louis Skidmore, co-founder of the influential firm Skidmore, Owings & Merrill.
-
D.
Conant
Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
-
E.
Averett
Averett is a given name most notably associated with American science fiction and fantasy author Michael Averett Lowell, better known as Michael A. Stackpole.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a1b20d48190a51358ec1af80371 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e507b408190ae3538d02536ef4c |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:31 p.m.