Triple
T9025102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Troup |
E216026
|
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: [Frank Troup, familyName, Troup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troup Context triple: [Frank 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.
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.
-
C.
Trinity County
Trinity County is a sparsely populated, mountainous county in northwestern California known for its forests, rivers, and outdoor recreation.
-
D.
Lowndes County
Lowndes County is a rural county in central Alabama known for its significant role in the American civil rights movement, particularly during the Selma to Montgomery marches.
-
E.
Toombs County
Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05be87434819090caedc38bf55123 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:07 p.m.