Triple
T9896910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Hill Records |
E182197
|
entity |
| Predicate | precedesInCareerOf |
P59782
|
FINISHED |
| Object | Katy Perry’s mainstream pop career |
—
|
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: Katy Perry’s mainstream pop career | Statement: [Red Hill Records, precedesInCareerOf, Katy Perry’s mainstream pop career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesInCareerOf Context triple: [Red Hill Records, precedesInCareerOf, Katy Perry’s mainstream pop career]
-
A.
followedByRoleInCareerOf
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
B.
precedesInFilm
Indicates that one film is released or occurs earlier in sequence or narrative order than another film.
-
C.
partOfCreativeCareerOf
chosen
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
D.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
E.
predecessorInRole
Indicates that one entity previously held a particular role or position that was later occupied by another entity.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.