Triple
T37493166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Noll |
E931751
|
entity |
| Predicate | hasCreatedFormatFor |
P80182
|
FINISHED |
| Object | Food Network |
—
|
NE NERFINISHED |
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: Food Network | Statement: [Dave Noll, hasCreatedFormatFor, Food Network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatedFormatFor Context triple: [Dave Noll, hasCreatedFormatFor, Food Network]
-
A.
createdFormatThatBecame
Indicates that one entity created a format which later evolved into or was adopted as another specified format.
-
B.
definesFormatFor
chosen
Indicates that one entity specifies or establishes the format or structural pattern to be used by another entity.
-
C.
hasCurrentFormat
Indicates that an entity currently exists, is stored, or is represented in a particular format.
-
D.
hasFinalFormat
Indicates that an entity possesses or is associated with its completed, finalized version or representation.
-
E.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 3, 2026, 4:17 p.m.