Triple
T29418311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizard King Records |
E746085
|
entity |
| Predicate | roleInArtistCareer |
P50390
|
FINISHED |
| Object | early label for The Killers |
—
|
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: early label for The Killers | Statement: [Lizard King Records, roleInArtistCareer, early label for The Killers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInArtistCareer Context triple: [Lizard King Records, roleInArtistCareer, early label for The Killers]
-
A.
roleInArtistCareers
chosen
Indicates the specific function or contribution an entity has had in shaping, supporting, or influencing one or more artists’ professional careers.
-
B.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
C.
roleInArt
Indicates the specific function, position, or contribution an entity has within a particular artwork or artistic production.
-
D.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
E.
documentsArtistRole
Indicates that something records or specifies the particular role an artist has in relation to a work or project.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 28, 2026, 3:03 p.m.