Triple
T10106745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Baptist Vanhal |
E216339
|
entity |
| Predicate | numberOfStringQuartetsApprox |
P65369
|
FINISHED |
| Object | dozens |
—
|
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: dozens | Statement: [Johann Baptist Vanhal, numberOfStringQuartetsApprox, dozens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStringQuartetsApprox Context triple: [Johann Baptist Vanhal, numberOfStringQuartetsApprox, dozens]
-
A.
numberOfStringQuartets
chosen
Indicates the quantity of string quartets associated with a given entity.
-
B.
numberOfStringQuintets
Indicates the quantity of groups consisting of five string instruments involved in or associated with the subject.
-
C.
numberOfStrings
Indicates the quantity of strings associated with or contained by an entity.
-
D.
workNumberWithinLateQuartets
Indicates that a work’s identifying number falls within the subset of compositions known as the “late quartets.”
-
E.
junctionCountApprox
Indicates an approximate count of junctions or connection points involved in or associated with the given entities.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0c8a0408190be886ec1013a5208 |
completed | April 2, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:03 p.m.