Triple
T22494106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby Foote |
E556095
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shelby |
—
|
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: Shelby | Statement: [Shelby Foote, givenName, Shelby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelby Context triple: [Shelby Foote, givenName, Shelby]
-
A.
Shelby
chosen
Shelby is a given name most notably borne by American politician Shelby Moore Cullom, who served as a U.S. Representative, Governor of Illinois, and long-time U.S. Senator in the late 19th and early 20th centuries.
-
B.
Shelby
Shelby is a small city located in Shelby County, Iowa, known for its rural Midwestern character and community-oriented lifestyle.
-
C.
Shelby
Shelby is the surname of Carroll Shelby, the legendary American automotive designer, racing driver, and creator of high-performance cars like the Shelby Cobra and Shelby Mustangs.
-
D.
Shelby
Shelby is the protagonist of the novel "Off Keck Road," around whom the story’s exploration of small-town Midwestern life and personal isolation revolves.
-
E.
Shelby
Shelby is a fictional character known for serving as a coach, typically portrayed as a mentor and leader within a sports or team setting.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb0dfb88190a4175e5e95d7ad4b |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.