Triple
T33406463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin Gibson |
E855449
|
entity |
| Predicate | baftaCategory |
P176561
|
FINISHED |
| Object | Best Production Design |
—
|
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: Best Production Design | Statement: [Colin Gibson, baftaCategory, Best Production Design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baftaCategory Context triple: [Colin Gibson, baftaCategory, Best Production Design]
-
A.
baftaAward
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
B.
baftaBestBritishFilmYear
Indicates the year in which a given film received the BAFTA award for Best British Film.
-
C.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
D.
outerCriticsCircleAwardWinCategory
Indicates that an entity has won an Outer Critics Circle Award in a specified award category.
-
E.
BAFTAAwardYear
Indicates the year in which a BAFTA award was given or associated with a particular award instance.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.