Triple
T36504094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snookeroo |
E899413
|
entity |
| Predicate | performerRoleOfEltonJohn |
P199158
|
FINISHED |
| Object | pianist |
—
|
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: pianist | Statement: [Snookeroo, performerRoleOfEltonJohn, pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerRoleOfEltonJohn Context triple: [Snookeroo, performerRoleOfEltonJohn, pianist]
-
A.
performerRole_Paul McCartney
Indicates that Paul McCartney serves or is credited in a specific performer role within a performance or creative work.
-
B.
performerRoleOfPaulSimon
Indicates that the specified role is one that Paul Simon performs or has performed.
-
C.
performerRoleOfDeanMartin
Indicates that the role or performance in question is one that was carried out by Dean Martin.
-
D.
performerRole_Denny Laine
Indicates that the entity participated as a performer specifically in the role associated with Denny Laine (e.g., performing parts or functions attributed to Denny Laine).
-
E.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69ff234e63648190a7b09a161029c8e2 |
completed | May 9, 2026, 12:06 p.m. |
Created at: May 3, 2026, 4:10 p.m.