Triple
T31945406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Nights |
E815636
|
entity |
| Predicate | hasPianoVersion |
P174433
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Summer Nights, hasPianoVersion, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPianoVersion Context triple: [Summer Nights, hasPianoVersion, yes]
-
A.
hasPianoStyle
Indicates that one entity possesses, is associated with, or is characterized by a particular style or manner of piano playing.
-
B.
hasPianoBrand
Indicates that an entity is associated with or uses a specific brand of piano.
-
C.
hasPianoRiff
Indicates that one entity features or contains a distinctive piano riff associated with another entity.
-
D.
hasPianos
Indicates that one entity possesses, contains, or includes one or more pianos in relation to another entity.
-
E.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2451e108190a73ccfdc99203d55 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 12:06 a.m.