Triple
T23444716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Ray Trout |
E565502
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Ray |
—
|
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: Ray | Statement: [Bryan Ray Trout, hasMiddleName, Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Context triple: [Bryan Ray Trout, hasMiddleName, Ray]
-
A.
Ray
"Ray" is a 2004 biographical film about the life and music of legendary rhythm and blues musician Ray Charles.
-
B.
Ray
Ray is an ancient city near modern-day Tehran in Iran that served as a significant political and cultural center in various Persian empires.
-
C.
Ray
chosen
Ray is a surname of English and Scottish origin borne by various notable individuals across different fields.
-
D.
Ray
Ray is the protagonist of the novel "The Keep," around whom the story’s central psychological and narrative tensions revolve.
-
E.
Ray
Ray is a central character in the neo-noir crime film "Blood Simple," entangled in a web of betrayal, murder, and moral ambiguity.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a647d6208190ba891252c8443fd4 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.