Triple
T38599363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | referredWorkCatalogueNumber |
P85815
|
FINISHED |
| Object | K. 588 |
—
|
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: K. 588 | Statement: [Women Are Like That, referredWorkCatalogueNumber, K. 588]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredWorkCatalogueNumber Context triple: [Women Are Like That, referredWorkCatalogueNumber, K. 588]
-
A.
workCatalogueNumber
chosen
Indicates the catalog or reference number assigned to a specific work within an organized catalogue or listing.
-
B.
workCatalogueNumberOfWork
Indicates the catalogue number assigned to a specific work within a cataloging or classification system.
-
C.
identifiesWorkUniquelyWithinCatalogue
Indicates that a work is distinguished from all other works within a specific catalogue by a unique identifier or combination of attributes.
-
D.
workNumberInHandelCatalogue
Indicates that a work is identified by a specific catalogue number in the Handel catalogue.
-
E.
catalogueRaisonneNumber
Indicates the identifier assigned to a work in a catalogue raisonné, linking it to its authoritative scholarly listing.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 3, 2026, 4:32 p.m.