Triple
T15871871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazel Wright Organ |
E384847
|
entity |
| Predicate | numberOfManuals |
P17558
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Hazel Wright Organ, numberOfManuals, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfManuals Context triple: [Hazel Wright Organ, numberOfManuals, 5]
-
A.
organManuals
chosen
Indicates a relationship where specific manuals or keyboards belong to, are part of, or are associated with a particular organ instrument.
-
B.
numberOfManuscriptsApprox
Indicates an approximate count of manuscripts associated with an entity.
-
C.
hasManual
Indicates that an entity is associated with a manual that provides instructions or documentation for it.
-
D.
numberOfBooks
Indicates the quantity of books associated with a given entity.
-
E.
areManuscriptsOf
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.