Triple
T20654296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Hi-Fi |
E507580
|
entity |
| Predicate | occupationOfMember_Jamie Arentzen |
P12884
|
FINISHED |
| Object | lead guitarist |
—
|
LITERAL FINISHED |
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: lead guitarist | Statement: [American Hi-Fi, occupationOfMember_Jamie Arentzen, lead guitarist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationOfMember_Jamie Arentzen Context triple: [American Hi-Fi, occupationOfMember_Jamie Arentzen, lead guitarist]
-
A.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
B.
attendantOf
Indicates that one entity serves as an attendant, helper, or service provider to another entity.
-
C.
governmentBodyOccupant
Indicates that a person holds an official position or role within a particular government body or institution.
-
D.
namedPersonOccupation
chosen
Indicates that a person is explicitly identified as having a particular occupation or job role.
-
E.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
- F. None of above.
Provenance (3 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ec90e881909250884483429acf |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.