Triple
T30762436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Wah Diddy Diddy |
E783268
|
entity |
| Predicate | isKaraokeStandard |
P170104
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Do Wah Diddy Diddy, isKaraokeStandard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKaraokeStandard Context triple: [Do Wah Diddy Diddy, isKaraokeStandard, true]
-
A.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
B.
isKaraokeFavorite
Indicates that something is a preferred or especially liked choice for karaoke performances.
-
C.
isPopularMusicStandard
Indicates that a piece of music is widely recognized, frequently performed, and accepted as part of the standard popular music repertoire.
-
D.
isRomanticPopStandard
Indicates that a song is recognized as a widely known, enduring standard within the romantic pop music genre.
-
E.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fba02708190a1d0392453790fd8 |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:39 p.m.