Triple
T28717262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinberg Genre, Inc. |
E729993
|
entity |
| Predicate | basedOnProfessionOfFounder |
P7991
|
FINISHED |
| Object | screenwriter |
—
|
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: screenwriter | Statement: [Kinberg Genre, Inc., basedOnProfessionOfFounder, screenwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnProfessionOfFounder Context triple: [Kinberg Genre, Inc., basedOnProfessionOfFounder, screenwriter]
-
A.
associatedProfessionOfFounder
Indicates the professional field or occupation linked to the founder of an entity.
-
B.
foundedByOccupation
chosen
Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
-
C.
workIncludesRoleOfFounder
Indicates that a work involves or credits an entity in the specific role of founder.
-
D.
coFounderOccupation
Indicates that the specified occupation is or was held by a person in their role as a co-founder of an organization.
-
E.
associatedWorkOfFounder
Indicates a relationship where a work (such as a publication, project, or creation) is linked to the person who founded or established it.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 28, 2026, 5:51 a.m.