Triple
T22782569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidio La Bahía |
E563876
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | James Fannin |
—
|
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: James Fannin | Statement: [Presidio La Bahía, associatedWith, James Fannin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Fannin Context triple: [Presidio La Bahía, associatedWith, James Fannin]
-
A.
James Fannin
chosen
James Fannin was a 19th-century American-born Texian military leader best known for his role in the Texas Revolution and his execution following the Goliad Massacre.
-
B.
William Fannin
William Fannin is a notable individual who shares the surname Fannin, which is associated with several prominent historical and contemporary figures.
-
C.
Richard Fannin
Richard Fannin is an alias used by Randall Flagg, the recurring demonic antagonist in several of Stephen King’s novels.
-
D.
Samuel Fannin
Samuel Fannin is a person notable enough to be recognized as a bearer of the surname Fannin.
-
E.
John Fannin
John Fannin was a Canadian naturalist, taxidermist, and museum curator known for helping to establish and direct the Provincial Museum of Natural History in British Columbia.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2ee4e88190951afb2abe69009f |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:28 p.m.