Triple
T31160212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twisted (1949 song by Wardell Gray and Annie Ross) |
E794318
|
entity |
| Predicate | hasVocaleseLyrics |
P179250
|
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: [Twisted (1949 song by Wardell Gray and Annie Ross), hasVocaleseLyrics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocaleseLyrics Context triple: [Twisted (1949 song by Wardell Gray and Annie Ross), hasVocaleseLyrics, true]
-
A.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
B.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
C.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
D.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
E.
hasArabicVocalsBy
Indicates that the subject has Arabic-language vocal performance provided by the specified entity.
- 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 29, 2026, 9:07 p.m.