Triple
T25660867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symphony No. 1 in E-flat major |
E643371
|
entity |
| Predicate | composerBelongsTo |
P28674
|
FINISHED |
| Object | The Mighty Handful |
—
|
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: The Mighty Handful | Statement: [Symphony No. 1 in E-flat major, composerBelongsTo, The Mighty Handful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerBelongsTo Context triple: [Symphony No. 1 in E-flat major, composerBelongsTo, The Mighty Handful]
-
A.
belongTo
chosen
Indicates that one entity is a member, part, or property of another entity, signifying ownership, inclusion, or association.
-
B.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
C.
belongsToModule
Indicates that something is a component or part of a specific module within a larger system or structure.
-
D.
belongsToMode
Indicates that something is associated with, or is a member of, a particular mode or operational state.
-
E.
belongsToJuz
Indicates that something is a part of or contained within a specific juz (section or division).
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 6:53 p.m.