Triple
T31405633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor for Pelle the Conqueror |
E801117
|
entity |
| Predicate | filmProductionYear |
P121899
|
FINISHED |
| Object | 1986–1987 |
—
|
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: 1986–1987 | Statement: [Academy Award for Best Actor for Pelle the Conqueror, filmProductionYear, 1986–1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmProductionYear Context triple: [Academy Award for Best Actor for Pelle the Conqueror, filmProductionYear, 1986–1987]
-
A.
filmReleaseYear
Indicates the calendar year in which a film was first officially released to the public.
-
B.
filmRecordingReleaseYear
Indicates the calendar year in which a particular film recording was first released to the public.
-
C.
filmUseYear
chosen
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.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
yearInception
Indicates the year in which something (such as an entity, event, or organization) was first established, created, or began.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:31 p.m.