Triple
T21611815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASA Award |
E533329
|
entity |
| Predicate | hasFictionalCeremonyType |
P87547
|
FINISHED |
| Object | music award ceremony |
—
|
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: music award ceremony | Statement: [ASA Award, hasFictionalCeremonyType, music award ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalCeremonyType Context triple: [ASA Award, hasFictionalCeremonyType, music award ceremony]
-
A.
hasFictionalEventType
chosen
Indicates that something is associated with, characterized by, or classified under a particular type or category of fictional event.
-
B.
hasCeremonies
Indicates that an entity conducts, includes, or is associated with one or more formal ceremonies or ritual events.
-
C.
awardCeremonyOccasion
Indicates that an award ceremony is held on, or in connection with, a particular occasion or event.
-
D.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
E.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba79424819094e9ee93c4bbcc0b |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.