Triple
T38431943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for In the Bedroom |
E903826
|
entity |
| Predicate | relatedFilmReleaseYear |
P13249
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Academy Award for Best Supporting Actress for In the Bedroom, relatedFilmReleaseYear, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedFilmReleaseYear Context triple: [Academy Award for Best Supporting Actress for In the Bedroom, relatedFilmReleaseYear, 2001]
-
A.
filmReleaseYear
chosen
Indicates the calendar year in which a film was first officially released to the public.
-
B.
filmReleaseRelation
Indicates the relationship between a film and the details of its release, such as date, location, or distribution context.
-
C.
filmReleaseDate
Indicates the calendar date on which a film was first officially released or made publicly available.
-
D.
filmReleasedOn
Indicates that a film was released on a specific date.
-
E.
filmRecordingReleaseYear
Indicates the calendar year in which a particular film recording was first released to the public.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.