Triple
T15101106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palm Springs International Film Festival |
E360665
|
entity |
| Predicate | attendeesPerEdition |
P1131
|
FINISHED |
| Object | over 100,000 attendees |
—
|
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: over 100,000 attendees | Statement: [Palm Springs International Film Festival, attendeesPerEdition, over 100,000 attendees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendeesPerEdition Context triple: [Palm Springs International Film Festival, attendeesPerEdition, over 100,000 attendees]
-
A.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
eventEdition
Indicates a specific version or iteration of an event within a recurring or multi-edition series.
-
C.
grandFinalAttendance
Indicates the number of people who attended the grand final event.
-
D.
screeningsPerEdition
Indicates the number of screenings associated with each edition of an event or series.
-
E.
historicallyAttendedBy
Indicates that an entity has been attended by another entity at some point in the past, rather than in the present.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.