Triple
T21677462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next Plane Out |
E535009
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Guy Roche |
—
|
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: Guy Roche | Statement: [Next Plane Out, producer, Guy Roche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Roche Context triple: [Next Plane Out, producer, Guy Roche]
-
A.
Guy Roche
chosen
Guy Roche is a French-born American songwriter and record producer known for his work with major pop and R&B artists in the 1990s and 2000s.
-
B.
Gerald Roche
Gerald Roche is a scholar and linguist known for his research on the Monguor (Tu) language and the sociolinguistics of minority languages in China.
-
C.
John Roche
John Roche is a name shared by several notable individuals, including figures in politics, sports, and academia.
-
D.
George Tierney
George Tierney was a prominent late 18th- and early 19th-century British Whig politician known for his opposition to William Pitt the Younger and his role as a leading parliamentary critic of government policy.
-
E.
Kevin Tighe
Kevin Tighe is an American actor best known for his role as firefighter-paramedic Roy DeSoto on the television series "Emergency!" and for numerous character roles in film and television.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a105b888190820b894d16c1ab77 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:42 p.m.