Triple
T32004756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Angel |
E817233
|
entity |
| Predicate | laterScreenings |
P27231
|
FINISHED |
| Object | international film festivals |
—
|
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: international film festivals | Statement: [Red Angel, laterScreenings, international film festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterScreenings Context triple: [Red Angel, laterScreenings, international film festivals]
-
A.
laterTheater
Indicates that one event, showing, or activity at a theater occurs after another in time.
-
B.
plannedTheater
Indicates that an entity has scheduled or arranged for a theater-related event or activity to take place.
-
C.
screeningsOccurDuring
Indicates that the time period of the screenings takes place within or overlaps with a specified time interval or event.
-
D.
hasFilmScreenings
Indicates that a film is scheduled to be shown at one or more specific screenings or venues.
-
E.
filmFestivalScreening
chosen
Indicates that a film is being shown or presented as part of the official program of a film festival.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
Created at: May 1, 2026, 12:15 a.m.