Triple
T24555732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Supporting Actress |
E607511
|
entity |
| Predicate | isOftenPresentedBy |
P156299
|
FINISHED |
| Object | film academies |
—
|
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: film academies | Statement: [Best Supporting Actress, isOftenPresentedBy, film academies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenPresentedBy Context triple: [Best Supporting Actress, isOftenPresentedBy, film academies]
-
A.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
B.
isOftenRequiredFor
Indicates that one entity is frequently needed or commonly necessary for the occurrence, use, or success of another entity or activity.
-
C.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
D.
isOftenFirstPointSeenBy
Indicates that one entity is typically the initial point of contact or the first thing encountered by another entity.
-
E.
isFrequentlyPerformedBy
Indicates that an action or activity is carried out often or on a regular basis by a particular entity.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f1fb9c819086b5bd0b03a853e6 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:27 a.m.