Triple
T20879255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mooresville, Indiana |
E514100
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Samuel Moore |
—
|
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: Samuel Moore | Statement: [Mooresville, Indiana, foundedBy, Samuel Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Moore Context triple: [Mooresville, Indiana, foundedBy, Samuel Moore]
-
A.
Samuel Moore
chosen
Samuel Moore was an early settler and prominent local figure after whom the town of Mooresville, Indiana, was named.
-
B.
Samuel David Moore
Samuel David Moore is an American soul and R&B singer best known as one half of the legendary duo Sam & Dave, famous for hits like "Soul Man" and "Hold On, I'm Comin'."
-
C.
William Moore
William Moore was an early settler and landowner after whom the city of Raymore, Missouri, was named.
-
D.
William Moore
William Moore was the father of the Victorian painter Albert Joseph Moore, likely providing the family background from which the artist emerged.
-
E.
Louis Moore
Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.