Triple
T25190340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music for the People |
E630849
|
entity |
| Predicate | artistRealNameOfFrontman |
P145684
|
FINISHED |
| Object | Mark Wahlberg |
—
|
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: Mark Wahlberg | Statement: [Music for the People, artistRealNameOfFrontman, Mark Wahlberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artistRealNameOfFrontman Context triple: [Music for the People, artistRealNameOfFrontman, Mark Wahlberg]
-
A.
musicalArtistRealName
chosen
Indicates that a musical artist is known in real life by a particular personal or legal name.
-
B.
frontmanStageName
Indicates that the specified stage name is used by the person who serves as the frontman (lead performer) of a musical group or band.
-
C.
isFrontmanOf
Indicates that a person serves as the lead singer or primary representative performer of a band or musical group.
-
D.
featuresFormerBandMemberOf
Indicates that the subject entity includes, highlights, or presents an individual who was previously a member of the referenced band.
-
E.
guestVocalistIsFrontmanOf
Indicates that the guest vocalist performing on a work is also the lead singer (frontman) of the referenced band or primary musical act.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e0dc9908190b2d957d9c6314cfc |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:45 p.m.