Triple
T30529713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio (song) |
E776959
|
entity |
| Predicate | hasKeyboardBy |
P180253
|
FINISHED |
| Object | Nick Rhodes |
—
|
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: Nick Rhodes | Statement: [Rio (song), hasKeyboardBy, Nick Rhodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyboardBy Context triple: [Rio (song), hasKeyboardBy, Nick Rhodes]
-
A.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
B.
hasKeyboardCount
Indicates the number of keyboards associated with a given entity.
-
C.
hasKeyboardContribution
Indicates that an entity has contributed to the design, development, or creation of a keyboard.
-
D.
hasKeyboardRange
Indicates that one entity possesses or supports a specified span of keys or notes across a keyboard-based input or instrument.
-
E.
hasKeyboardStyle
Indicates the type or style of keyboard associated with or used by an 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 29, 2026, 8:18 p.m.