Triple
T12200112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Easybeats |
E290687
|
entity |
| Predicate | roleOfDickDiamonde |
P104282
|
FINISHED |
| Object | bassist |
—
|
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: bassist | Statement: [The Easybeats, roleOfDickDiamonde, bassist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfDickDiamonde Context triple: [The Easybeats, roleOfDickDiamonde, bassist]
-
A.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
B.
roleOfDanielDines
Indicates that the specified role or position is held by Daniel Dines in relation to another entity or context.
-
C.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
-
D.
roleInDa5Bloods
Indicates that an entity had an acting role in the film "Da 5 Bloods."
-
E.
antagonistOccupation
Indicates the role, job, or professional activity that the antagonist character performs.
- F. None of above. chosen
Provenance (4 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.