Triple
T23680657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Calisto |
E585007
|
entity |
| Predicate | hasWorkTitleInItalian |
P23991
|
FINISHED |
| Object | La Calisto |
—
|
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: La Calisto | Statement: [La Calisto, hasWorkTitleInItalian, La Calisto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTitleInItalian Context triple: [La Calisto, hasWorkTitleInItalian, La Calisto]
-
A.
titleInItalian
chosen
Indicates that one entity is the title of another entity expressed in the Italian language.
-
B.
hasTitleWork
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
-
C.
equivalentTitleInItalian
Indicates that one entity’s title is an equivalent version of another entity’s title expressed in Italian.
-
D.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
E.
hasWorkingTitle
Indicates that an entity is associated with a provisional or temporary title used during its development or production.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f835ec8190a7bdcfa48ad79cd5 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.