Triple
T27965956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitmaka |
E704717
|
entity |
| Predicate | laterCareerAs |
P177090
|
FINISHED |
| Object | record producer |
—
|
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: record producer | Statement: [Hitmaka, laterCareerAs, record producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterCareerAs Context triple: [Hitmaka, laterCareerAs, record producer]
-
A.
laterCareer
Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
-
B.
laterCareerWorkOf
Indicates that one work represents a creator’s later career output in relation to another work or to their overall body of work.
-
C.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
D.
laterCareerInterest
Indicates that an entity develops or expresses interest in a particular career or professional field at a later stage in time, relative to an earlier period or context.
-
E.
laterWorksAs
chosen
Indicates that an entity holds or takes on a particular occupation or role at a later point in time relative to another referenced time or role.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 27, 2026, 7:35 p.m.