Triple
T14592530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spotlight (New York Film Festival program) |
E342477
|
entity |
| Predicate | relationToFestivalLineup |
P47402
|
FINISHED |
| Object | supplements main slate |
—
|
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: supplements main slate | Statement: [Spotlight (New York Film Festival program), relationToFestivalLineup, supplements main slate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToFestivalLineup Context triple: [Spotlight (New York Film Festival program), relationToFestivalLineup, supplements main slate]
-
A.
associatedWithPerformer
Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
-
B.
linkedFestival
Indicates that two entities are associated through a common festival, event, or celebration.
-
C.
featuredInTourSetlistOf
Indicates that an item (such as a song or performance) appears as part of the setlist for a specific tour.
-
D.
relationToMainFestival
chosen
Indicates how a given event, activity, or element is connected or related to the main festival.
-
E.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.