Triple
T34364213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheer Up |
E881963
|
entity |
| Predicate | musicShowWinCount |
P195006
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Cheer Up, musicShowWinCount, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicShowWinCount Context triple: [Cheer Up, musicShowWinCount, 11]
-
A.
winningPerformer
Indicates that the referenced performer is the one who achieved victory or first place in a particular competition, event, or contest.
-
B.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
C.
mostAwardsArtistCount
Indicates the number of artists who share the highest total count of awards within a given context.
-
D.
musicContestsIncluded
Indicates that certain music contests are part of, or included within, a larger event, program, or collection.
-
E.
musicOftenPerformedBy
Indicates that a particular piece of music, genre, or work is frequently performed or interpreted by a specific performer or group.
- F. None of above. chosen
Provenance (4 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: May 1, 2026, 1:58 a.m.