Triple
T19983369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BFI London Film Festival |
E493870
|
entity |
| Predicate | hasRedCarpetPremieres |
P50870
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [BFI London Film Festival, hasRedCarpetPremieres, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedCarpetPremieres Context triple: [BFI London Film Festival, hasRedCarpetPremieres, yes]
-
A.
hasRedCarpetEvent
chosen
Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
-
B.
hasFilmPremiereInDecade
Indicates that a film’s premiere or first public release occurred during a specified decade.
-
C.
conductedPremiereOf
Indicates that one entity organized and presented the first public performance or showing of another entity (such as a work, event, or production).
-
D.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
E.
hasFilmScreenings
Indicates that a film is scheduled to be shown at one or more specific screenings or venues.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:28 p.m.