Triple
T12772116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of Mother Goose |
E305269
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Griselda |
E603490
|
NE 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: Griselda | Statement: [Tales of Mother Goose, hasMainCharacter, Griselda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Griselda Context triple: [Tales of Mother Goose, hasMainCharacter, Griselda]
-
A.
Griselda
chosen
Griselda is an opera by Alessandro Scarlatti, based on the medieval tale of patient Griselda and notable for its Baroque musical style and dramatic intensity.
-
B.
Casilda
Casilda is a central character in Gilbert and Sullivan’s comic opera "The Gondoliers," known as the secretly betrothed bride of the missing heir to the throne of Barataria.
-
C.
Gertrudis
Gertrudis is a passionate and rebellious sister in "Like Water for Chocolate" whose fiery nature and unconventional choices challenge her family's strict traditions.
-
D.
Griselda Siciliani
Griselda Siciliani is an Argentine actress and singer known for her work in television, film, and musical theatre.
-
E.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fcd4b48190ab610efffcbd1546 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:28 p.m.