Triple
T32255656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Kowalcyk |
E824010
|
entity |
| Predicate | inspiredDocumentary |
P40577
|
FINISHED |
| Object | Food, Inc. |
—
|
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, Inc. | Statement: [Barbara Kowalcyk, inspiredDocumentary, Food, Inc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredDocumentary Context triple: [Barbara Kowalcyk, inspiredDocumentary, Food, Inc.]
-
A.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another entity.
-
B.
workInspiredFilm
Indicates that a particular work (such as a book, article, or other creation) served as the inspiration or source material for a film.
-
C.
inspiredDocument
Indicates that one entity (often a work, idea, or person) served as the creative or conceptual inspiration for the creation or content of another document.
-
D.
documentaryFocus
chosen
Indicates that a documentary work primarily centers on, examines, or explores a particular subject, theme, or entity.
-
E.
documentaryFunction
Indicates that one entity serves as a documentary record or evidence for another entity, capturing, describing, or documenting 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 12:41 a.m.