Triple
T29775830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Kanin |
E755375
|
entity |
| Predicate | usedPlatformFor |
P83212
|
FINISHED |
| Object | promoting women’s voices in film and television |
—
|
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: promoting women’s voices in film and television | Statement: [Fay Kanin, usedPlatformFor, promoting women’s voices in film and television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPlatformFor Context triple: [Fay Kanin, usedPlatformFor, promoting women’s voices in film and television]
-
A.
usedByPlatform
Indicates that something (such as a tool, component, or resource) is utilized or employed by a particular platform.
-
B.
usedPlatformType
Indicates that an entity makes use of or operates on a particular type or category of platform.
-
C.
usedOnPlatformType
Indicates that something is utilized or operates on a specific type of platform.
-
D.
platformUsedFor
chosen
Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of another entity.
-
E.
consideredPlatform
Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 8:46 p.m.