Triple
T20552750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. W. Hackel |
E504637
|
entity |
| Predicate | filmTypeProduced |
P35848
|
FINISHED |
| Object | feature films |
—
|
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: feature films | Statement: [A. W. Hackel, filmTypeProduced, feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmTypeProduced Context triple: [A. W. Hackel, filmTypeProduced, feature films]
-
A.
filmProductionType
Indicates the specific kind or category of production under which a film was made (e.g., feature, short, documentary, TV movie).
-
B.
filmType
Indicates the specific category or genre that a film belongs to.
-
C.
producedFilmType
chosen
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
-
D.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
-
E.
workFilmType
Indicates the type or category of film associated with a particular work.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d98c348190ac516bc2df59d878 |
completed | April 20, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.