Triple
T13524527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Troup |
E322985
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Troup |
E216026
|
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: Troup | Statement: [Bobby Troup, familyName, Troup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troup Context triple: [Bobby Troup, familyName, Troup]
-
A.
Troup
chosen
Troup is a surname of Scottish origin borne by various notable individuals, including politicians, artists, and public figures.
-
B.
Turner County
Turner County is a rural county in southeastern South Dakota that forms part of the Sioux Falls metropolitan region.
-
C.
Terrell County
Terrell County is a sparsely populated rural county in southwestern Texas known for its rugged desert landscapes and ranching heritage.
-
D.
Kimble County
Kimble County is a rural county located on the Edwards Plateau in central Texas, known for its ranching, hunting, and scenic Hill Country landscapes.
-
E.
Spalding County
Spalding County is a county in west-central Georgia, United States, known for its seat, the city of Griffin, and its location within the Atlanta metropolitan area.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549c016c8190945a185b2bc20689 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.