Triple
T21361847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Larimore Riggs |
E526800
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Larimore |
—
|
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: Larimore | Statement: [Robert Larimore Riggs, middleName, Larimore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larimore Context triple: [Robert Larimore Riggs, middleName, Larimore]
-
A.
Larimore
chosen
Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
-
B.
Brule
Brule is a small coastal community in Nova Scotia, Canada, known for its rural setting and proximity to the Northumberland Strait.
-
C.
Maddiston
Maddiston is a village in central Scotland situated within the Falkirk council area, known primarily as a residential community with local amenities serving the surrounding region.
-
D.
Scobey
Scobey is a surname and place name most notably associated with the city of Scobey in Montana, United States.
-
E.
Hulett
Hulett was a South African company that became part of the diversified agribusiness and sugar producer Tongaat Hulett through a corporate merger.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06b219c81908f7674ae459e7931 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.