Triple
T29148530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for Up in the Air |
E738837
|
entity |
| Predicate | recognizesMedium |
P180326
|
FINISHED |
| Object | supporting acting in film |
—
|
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: supporting acting in film | Statement: [Academy Award for Best Supporting Actress for Up in the Air, recognizesMedium, supporting acting in film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesMedium Context triple: [Academy Award for Best Supporting Actress for Up in the Air, recognizesMedium, supporting acting in film]
-
A.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
B.
typicalRecognitionFormat
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
C.
mediaTypeRecognized
Indicates that a system has successfully identified and accepted the type or format of a given media item as valid or supported.
-
D.
definesMediumType
Indicates that one entity specifies or assigns the medium type or format category of another entity.
-
E.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
- F. None of above. chosen
Provenance (4 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 28, 2026, 11:41 a.m.