Triple
T28212344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Movie Award for Best Kiss |
E711206
|
entity |
| Predicate | hasAwardShowFormat |
P130809
|
FINISHED |
| Object | televised 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: televised ceremony | Statement: [MTV Movie Award for Best Kiss, hasAwardShowFormat, televised ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardShowFormat Context triple: [MTV Movie Award for Best Kiss, hasAwardShowFormat, televised ceremony]
-
A.
awardShowFormat
chosen
Indicates the specific structure or style in which an award show is organized and presented.
-
B.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
C.
hasAwardedFormat
Indicates that one entity has granted or assigned a particular award format or type to another entity.
-
D.
hasNotableShowFormat
Indicates that an entity is associated with a specific, noteworthy format or structure of a show or program.
-
E.
awardShowType
Indicates the specific category or kind of award show associated with an entity.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64312f0f081909d8cb61e9cd52b16 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 10:40 p.m.