Triple
T1016957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAFTA Award for Best Direction |
E21951
|
entity |
| Predicate | hasCeremonyType |
P3305
|
FINISHED |
| Object | award ceremony |
—
|
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: award ceremony | Statement: [BAFTA Award for Best Direction, hasCeremonyType, award ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeremonyType Context triple: [BAFTA Award for Best Direction, hasCeremonyType, award ceremony]
-
A.
ceremonyType
chosen
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
B.
ceremonyIncludes
Indicates that a particular ceremony contains, involves, or encompasses a specified component, activity, or element as part of its structure or proceedings.
-
C.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
D.
hasFestivityType
Indicates that an event or celebration is classified as belonging to a particular type of festivity.
-
E.
ceremonyTiming
Indicates the temporal relationship specifying when a ceremony occurs or is scheduled to occur.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c4d488819081d8214ba0a22fe5 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.