Triple
T8118824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARK Music Factory |
E189547
|
entity |
| Predicate | roleOfClarenceJey |
P42172
|
FINISHED |
| Object | co-founder |
—
|
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: co-founder | Statement: [ARK Music Factory, roleOfClarenceJey, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfClarenceJey Context triple: [ARK Music Factory, roleOfClarenceJey, co-founder]
-
A.
createdDukeOfClarence
Indicates the relationship in which one entity formally granted or established the noble title "Duke of Clarence" for another entity.
-
B.
roleInWarsOfTheRoses
Indicates the specific part or function an entity played in the historical conflict known as the Wars of the Roses.
-
C.
roleInFamousPlay
Indicates that an entity portrays or has portrayed a specific character in a well-known theatrical play.
-
D.
GameOfThronesRole
Indicates that one entity plays, voices, or otherwise portrays a character in the television series "Game of Thrones" in relation to another entity.
-
E.
playsInRole
chosen
Indicates that an entity performs or appears in a specific role within a production, event, or context.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.