Triple
T19455745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Movie & TV Award for Best Actor in a Show |
E486727
|
entity |
| Predicate | hasCeremonyFrequency |
P78772
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [MTV Movie & TV Award for Best Actor in a Show, hasCeremonyFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCeremonyFrequency Context triple: [MTV Movie & TV Award for Best Actor in a Show, hasCeremonyFrequency, annual]
-
A.
hasCeremonies
Indicates that an entity conducts, includes, or is associated with one or more formal ceremonies or ritual events.
-
B.
hasCeremonyMonth
Indicates the month during which a particular ceremony takes place or is scheduled.
-
C.
hasFestivalFrequency
chosen
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
D.
sharesCeremoniesWith
Indicates that two entities participate in or observe the same ceremonies or ritual practices.
-
E.
hasPublicCeremony
Indicates that a public ceremony is held or conducted in relation to the subject 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c2b1108190b492ca23487b91f8 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.