Triple
T17790289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvin Brown |
E444139
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Arvin |
—
|
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: Arvin | Statement: [Arvin Brown, hasGivenName, Arvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arvin Context triple: [Arvin Brown, hasGivenName, Arvin]
-
A.
Arvin
chosen
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Will Arvin
Will Arvin is an American entrepreneur and distillery owner best known for reviving and co-founding Castle & Key Distillery at the historic Old Taylor Distillery site in Kentucky.
-
C.
Avin
Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
-
D.
Arvin Brown
Arvin Brown is an American theatre and television director best known for his long tenure leading and shaping the artistic vision of New Haven’s Long Wharf Theatre.
-
E.
Arkin
Arkin is a surname most notably associated with the late American actor and filmmaker Alan Arkin.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.