Triple
T32877056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kal-if-fee |
E840955
|
entity |
| Predicate | musicComposerForFirstDepiction |
P181060
|
FINISHED |
| Object | Gerald Fried |
—
|
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: Gerald Fried | Statement: [kal-if-fee, musicComposerForFirstDepiction, Gerald Fried]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicComposerForFirstDepiction Context triple: [kal-if-fee, musicComposerForFirstDepiction, Gerald Fried]
-
A.
musicComposer
Indicates that one entity is the creator or writer of a piece of music associated with another entity.
-
B.
musicComposedIn
Indicates that a piece of music was created or composed in a specific place or location.
-
C.
composedForMusicBy
Indicates that a musical work was specifically created or written by a particular composer.
-
D.
musicOriginallyComposedFor
chosen
Indicates that a piece of music was initially created specifically for a particular work, medium, or context.
-
E.
musicalDepictionOf
Indicates that one entity is a musical work that artistically represents, portrays, or is inspired by another entity.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:18 a.m.