Triple
T6955060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marky Mark and the Funky Bunch |
E161219
|
entity |
| Predicate | frontmanLaterOccupation |
P24742
|
FINISHED |
| Object | film actor |
—
|
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: film actor | Statement: [Marky Mark and the Funky Bunch, frontmanLaterOccupation, film actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontmanLaterOccupation Context triple: [Marky Mark and the Funky Bunch, frontmanLaterOccupation, film actor]
-
A.
guestVocalistIsFrontmanOf
Indicates that the guest vocalist performing on a work is also the lead singer (frontman) of the referenced band or primary musical act.
-
B.
featuresFormerBandMemberOf
Indicates that the subject entity includes, highlights, or presents an individual who was previously a member of the referenced band.
-
C.
characterFormerOccupation
Indicates that a character previously held a specific occupation but no longer does.
-
D.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
E.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.