Triple
T22428598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurman Arnold |
E554436
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arnold |
—
|
NE NERFINISHED |
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: Arnold | Statement: [Thurman Arnold, familyName, Arnold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnold Context triple: [Thurman Arnold, familyName, Arnold]
-
A.
Arnold
chosen
Arnold is a common English and German surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
-
B.
Arnold
Arnold is a market town and suburb in the county of Nottinghamshire, England, situated to the northeast of Nottingham.
-
C.
Arnold
Arnold is a masculine given name of Germanic origin commonly used in various European and English-speaking countries.
-
D.
Arnold
Arnold is a small mountain community in Calaveras County, California, known as a gateway to the Sierra Nevada with access to outdoor recreation and nearby state parks.
-
E.
Arnold
Arnold is a small city located in Westmoreland County, Pennsylvania, in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2f054c819093fbe173c8a4a544 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.