Triple
T23946075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harpsichord |
E602916
|
entity |
| Predicate | canHaveMultipleManuals |
P125807
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Harpsichord, canHaveMultipleManuals, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHaveMultipleManuals Context triple: [Harpsichord, canHaveMultipleManuals, Yes]
-
A.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
hasMultipleWorking
Indicates that an entity is associated with more than one working instance, role, or configuration simultaneously.
-
C.
canOperateInMultiple
Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
-
D.
hasMultipleUnitControl
Indicates that a single controller or agent is able to direct, manage, or operate more than one unit simultaneously.
-
E.
canBeMultiple
chosen
Indicates that the related item, value, or association is allowed to occur more than once rather than being restricted to a single instance.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02dd0cc8190b32eb86bdfe0bf9a |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:13 p.m.