Triple
T36735972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child of Heaven |
E907474
|
entity |
| Predicate | hasFemaleComposer |
P47024
|
FINISHED |
| Object | Roxanna Panufnik |
—
|
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: Roxanna Panufnik | Statement: [Child of Heaven, hasFemaleComposer, Roxanna Panufnik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleComposer Context triple: [Child of Heaven, hasFemaleComposer, Roxanna Panufnik]
-
A.
hasFemaleSongwriter
Indicates that the subject has at least one songwriter who is female.
-
B.
hasFemaleArtists
Indicates that the subject includes, features, or is associated with one or more female artists.
-
C.
hasMusicalComposer
chosen
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
D.
hasFemaleVocalist
Indicates that the subject entity features or includes at least one female vocalist as a performer.
-
E.
allFemaleCollaboration
Indicates that the collaboration involves exclusively female participants.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:12 p.m.