Triple
T14594722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Comedy Award |
E342527
|
entity |
| Predicate | typicalEventComponents |
P6628
|
FINISHED |
| Object | award presentations |
—
|
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 presentations | Statement: [American Comedy Award, typicalEventComponents, award presentations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEventComponents Context triple: [American Comedy Award, typicalEventComponents, award presentations]
-
A.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
B.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
-
C.
featuresEvent
chosen
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
D.
includesEvents
Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
-
E.
multiEventsIncluded
Indicates that multiple distinct events are collectively contained within, or form part of, a larger event set or grouping.
- 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_69deb43581348190b5362251c3a89654 |
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.