Triple
T33184875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dick Van Dyke Show Theme |
E849438
|
entity |
| Predicate | hasNoLyricsInOpeningCredits |
P23861
|
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: [The Dick Van Dyke Show Theme, hasNoLyricsInOpeningCredits, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoLyricsInOpeningCredits Context triple: [The Dick Van Dyke Show Theme, hasNoLyricsInOpeningCredits, true]
-
A.
hasNoLyrics
chosen
Indicates that the referenced musical work or audio track does not contain any sung or spoken lyrics.
-
B.
hasNoOfficialLyrics
Indicates that there are no formally released or officially recognized lyrics associated with the referenced work or piece.
-
C.
hasNoLeadVocals
Indicates that the referenced musical work or track does not feature any lead vocal performance.
-
D.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
E.
hasUnofficialLyrics
Indicates that an entity is associated with lyrics that are not officially authorized or recognized by the original creator or rights holder.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
Created at: May 1, 2026, 1:29 a.m.