Triple
T1407973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Smith |
E31738
|
entity |
| Predicate | musicalAbility |
P26585
|
FINISHED |
| Object | good singer |
—
|
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: good singer | Statement: [Steve Smith, musicalAbility, good singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalAbility Context triple: [Steve Smith, musicalAbility, good singer]
-
A.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
B.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
-
E.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:59 p.m.