Triple
T22963031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Not That Kind |
E570957
|
entity |
| Predicate | introducedVocalStyleOf |
P150406
|
FINISHED |
| Object | Anastacia |
—
|
NE NERFINISHED |
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: Anastacia | Statement: [Not That Kind, introducedVocalStyleOf, Anastacia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedVocalStyleOf Context triple: [Not That Kind, introducedVocalStyleOf, Anastacia]
-
A.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
B.
artisticVocalStyle
Indicates a relationship where an entity’s vocal performance is characterized by a particular artistic style or expressive manner of singing or speaking.
-
C.
hasHookVocalStyle
Indicates that an entity (typically a musical work or performance) features a distinctive, catchy vocal delivery or refrain intended to serve as a memorable hook.
-
D.
hasMusicalVocalType
Indicates that an entity is associated with a specific type or classification of singing voice.
-
E.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f66fbc8190a4a7b73d17537132 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:47 p.m.