Triple
T28621574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqualung (Aqualung recordings, production) |
E724398
|
entity |
| Predicate | hasProductionCreditFor |
P190652
|
FINISHED |
| Object | Jimmy Hogarth |
—
|
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: Jimmy Hogarth | Statement: [Aqualung (Aqualung recordings, production), hasProductionCreditFor, Jimmy Hogarth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionCreditFor Context triple: [Aqualung (Aqualung recordings, production), hasProductionCreditFor, Jimmy Hogarth]
-
A.
hasProductionCredit
chosen
Indicates that an entity is credited as having contributed to the production of another entity, such as a work, project, or media item.
-
B.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
C.
hasPerformerCredit
Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
-
D.
hasFilmographyIn
Indicates that an individual has participated in or contributed to works within a specified filmography or body of film-related productions.
-
E.
hasFilmographyType
Indicates the type or category of film-related work associated with an entity (e.g., actor, director, producer) within its filmography.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: April 28, 2026, 4:33 a.m.