Triple
T26439939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for Silver Linings Playbook |
E665058
|
entity |
| Predicate | filmReleaseYearConsidered |
P13249
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Academy Award for Best Supporting Actress for Silver Linings Playbook, filmReleaseYearConsidered, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmReleaseYearConsidered Context triple: [Academy Award for Best Supporting Actress for Silver Linings Playbook, filmReleaseYearConsidered, 2012]
-
A.
filmReleaseYear
chosen
Indicates the calendar year in which a film was first officially released to the public.
-
B.
filmUseYear
Indicates that a film is associated with or utilizes a particular year, such as its setting, production year, or a key temporal reference in the narrative.
-
C.
filmReleaseDate
Indicates the calendar date on which a film was first officially released or made publicly available.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
filmReleasedOn
Indicates that a film was released on a specific date.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6121a29408190af33e7a709a8a65f |
completed | May 2, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 11:57 p.m.