Triple
T29010488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aveu |
E736550
|
entity |
| Predicate | dedicatedWorkSharedWith |
P2507
|
FINISHED |
| Object | Carnaval, Op. 9 (dedicated to Frédéric Chopin) |
—
|
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: Carnaval, Op. 9 (dedicated to Frédéric Chopin) | Statement: [Aveu, dedicatedWorkSharedWith, Carnaval, Op. 9 (dedicated to Frédéric Chopin)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedWorkSharedWith Context triple: [Aveu, dedicatedWorkSharedWith, Carnaval, Op. 9 (dedicated to Frédéric Chopin)]
-
A.
hasResponsibilitiesSharedWith
Indicates that two or more entities share joint responsibility for certain tasks, duties, or obligations.
-
B.
sharesWorkWith
Indicates that one entity collaborates or participates jointly in work or tasks with another entity.
-
C.
isSharedBy
chosen
Indicates that something is jointly possessed, used, or experienced by two or more entities.
-
D.
hasWorkDedicatedTo
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
-
E.
notSharedWith
Indicates that something is intentionally not disclosed, distributed, or made accessible to a specified party or set of parties.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fdb92508190bd0e7fe7877cdae2 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:42 a.m.