Triple
T2899065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAFTA Award for Best Editing |
E62611
|
entity |
| Predicate | hasPresentationFormat |
P34185
|
FINISHED |
| Object | trophy |
—
|
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: trophy | Statement: [BAFTA Award for Best Editing, hasPresentationFormat, trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPresentationFormat Context triple: [BAFTA Award for Best Editing, hasPresentationFormat, trophy]
-
A.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
B.
hasPublishingFormat
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
-
C.
hasProductionFormat
chosen
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
D.
hasPanelFormat
Indicates that something is associated with a particular panel layout or format used for its presentation or display.
-
E.
hasArtFormPresented
Indicates that an entity presents, showcases, or features a particular art form.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0ad7bbc8190822738baa6935b74 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:10 p.m.