Triple
T9681115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel (Sarah McLachlan song) |
E234282
|
entity |
| Predicate | hasPiano |
P11119
|
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: [Angel (Sarah McLachlan song), hasPiano, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPiano Context triple: [Angel (Sarah McLachlan song), hasPiano, yes]
-
A.
hasPianos
chosen
Indicates that one entity possesses, contains, or includes one or more pianos in relation to another entity.
-
B.
hasPianist
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
C.
hasPianoSolo
Indicates that something includes, features, or is characterized by a piano solo performance.
-
D.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
E.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
- F. None of above.
Provenance (3 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9fec1c8190b2626848cb2c1871 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.