Triple
T19301290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordell Reagon |
E482702
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cordell |
—
|
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: Cordell | Statement: [Cordell Reagon, givenName, Cordell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cordell Context triple: [Cordell Reagon, givenName, Cordell]
-
A.
Cordell
chosen
Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
-
B.
McCord
McCord is a surname most notably associated with James W. McCord Jr., a key figure in the Watergate scandal.
-
C.
Conerly
Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
-
D.
Crawford
Crawford is a small community located within Russell County, likely serving as one of its local residential or rural settlements.
-
E.
Crawford
Crawford is a Scottish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8a2a5c8190bfe95e40d3c93a42 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.