Triple
T22875739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Getaway |
E567316
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gary Lyons |
—
|
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: Gary Lyons | Statement: [Alabama Getaway, producer, Gary Lyons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Lyons Context triple: [Alabama Getaway, producer, Gary Lyons]
-
A.
Gary Lyons
chosen
Gary Lyons is a record producer known for his work on albums such as "Go to Heaven" by the Grateful Dead.
-
B.
Ben Lyons
Ben Lyons is an American entertainment reporter and film critic known for co-hosting the television review show "At the Movies."
-
C.
Eric Lyons
Eric Lyons is a technology entrepreneur best known as a co-founder of the software company Altamira Software.
-
D.
Michael Lyons
Michael Lyons is a British public servant and former chairman of the BBC Trust, known for his leadership roles in local government and public sector organizations.
-
E.
Dave Lyons
Dave Lyons is a deaf man who becomes entangled in a murder investigation alongside his blind friend in the comedy film "See No Evil, Hear No Evil."
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f57a1ec8190b8c6a0080d97a2a2 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.