Triple
T4357128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Reputation |
E98176
|
entity |
| Predicate | hasRecordingEnvironment |
P48509
|
FINISHED |
| Object | studio |
—
|
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: studio | Statement: [Bad Reputation, hasRecordingEnvironment, studio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecordingEnvironment Context triple: [Bad Reputation, hasRecordingEnvironment, studio]
-
A.
hasRecordingContract
Indicates that an entity is formally bound by an agreement to produce recordings for another entity, typically a record label or similar organization.
-
B.
isLiveRecording
Indicates that the recording was captured during a live performance or event rather than produced in a studio or through post-production.
-
C.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
D.
hasRecordingStudio
chosen
Indicates that an entity possesses, operates, or is associated with a recording studio.
-
E.
hasVideoRecordingAvailableOn
Indicates that a video recording of something is accessible or hosted on a specified platform, service, or medium.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c68a588190ba14a298afacb1dc |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.