Triple
T12242907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La rondine |
E291778
|
entity |
| Predicate | originalIntendedForm |
P6483
|
FINISHED |
| Object | operetta |
—
|
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: operetta | Statement: [La rondine, originalIntendedForm, operetta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalIntendedForm Context triple: [La rondine, originalIntendedForm, operetta]
-
A.
originalForm
chosen
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
B.
originalIntendedStatus
Indicates the status that was initially planned or expected for an entity before any changes or updates occurred.
-
C.
originalFor
Indicates that one entity serves as the source, basis, or prototype from which another entity is derived, adapted, or created.
-
D.
originalSpelling
Indicates that one entity provides the initial or historically first-used spelling form of another entity’s name or term.
-
E.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.