Triple
T20734676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrude Lang |
E509665
|
entity |
| Predicate | improvesAt |
P130190
|
FINISHED |
| Object | clarinet performance |
—
|
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: clarinet performance | Statement: [Gertrude Lang, improvesAt, clarinet performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: improvesAt Context triple: [Gertrude Lang, improvesAt, clarinet performance]
-
A.
improvesOn
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
-
B.
seeksToImprove
Indicates an intentional effort by one entity to make another entity or condition better than its current state.
-
C.
hasImproved
chosen
Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
-
D.
improvesAccessToward
Indicates that one entity enhances or facilitates the ability of another entity to reach, use, or benefit from a resource, service, or opportunity.
-
E.
claimsToImprove
Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c209348c819084a2f35f36378680 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:31 p.m.