Triple
T21243826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collinsville, California |
E523550
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Samuel Collins |
—
|
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 Collins | Statement: [Collinsville, California, namedAfter, Samuel Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Collins Context triple: [Collinsville, California, namedAfter, Samuel Collins]
-
A.
Samuel Collins
chosen
Samuel Collins was an individual significant enough in local history or development that the community of Collinsville, California, was named in his honor.
-
B.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
C.
Samuel Barnes
Samuel Barnes is a music producer best known for his work on the album "Faith."
-
D.
Samuel Barnes
Samuel Barnes is a songwriter and music producer known for co-writing Rihanna's early hit "If It's Lovin' that You Want."
-
E.
Samuel Holden
Samuel Holden was an influential 18th-century British politician and merchant whose prominence and philanthropy led to institutions such as Holden Chapel being named in his honor.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352507448190ba1f14cef16d69be |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:47 p.m.