Triple
T35920322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podcast: Lynchland |
E1038863
|
entity |
| Predicate | primaryCreatorRole |
P54488
|
FINISHED |
| Object | host and 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: host and producer | Statement: [Podcast: Lynchland, primaryCreatorRole, host and producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCreatorRole Context triple: [Podcast: Lynchland, primaryCreatorRole, host and producer]
-
A.
firstCreatorRole
chosen
Indicates the specific role or capacity in which the primary or earliest creator of an entity contributed to its creation.
-
B.
primaryRoleFor
Indicates that one entity serves as the main or most important role or function for another entity.
-
C.
primaryWriter
Indicates that one entity serves as the main or lead author responsible for creating or composing another entity.
-
D.
primaryActor
Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
-
E.
mainlyCreatedBy
Indicates that something was primarily produced or brought into existence through the work or effort of a particular agent or creator, even if others may have contributed.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.