Triple
T24795955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyz II Men – Evolution |
E620381
|
entity |
| Predicate | stylisticProgressionFrom |
P157142
|
FINISHED |
| Object | II |
—
|
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: II | Statement: [Boyz II Men – Evolution, stylisticProgressionFrom, II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylisticProgressionFrom Context triple: [Boyz II Men – Evolution, stylisticProgressionFrom, II]
-
A.
stylisticShiftDirection
Indicates the direction or nature of a change in style from one state, work, or expression to another.
-
B.
stylisticRange
Indicates the range or spectrum of styles that characterize or can be applied to something.
-
C.
stylisticFocus
Indicates a relationship where something is primarily concerned with, emphasizes, or is characterized by a particular style or set of stylistic features.
-
D.
stylisticElement
Indicates a relationship where one entity functions as a stylistic feature, device, or characteristic that shapes the expressive or aesthetic quality of another entity.
-
E.
literaryStylePhase
Indicates a relationship where a particular literary style is associated with, or characteristic of, a specific phase or period in literary development.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f411069830819089baad5abc40d188 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:48 a.m.