Triple
T11885598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna |
E282771
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Dona |
E606248
|
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: Dona | Statement: [Donna, hasVariant, Dona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dona Context triple: [Donna, hasVariant, Dona]
-
A.
Dona
chosen
Dona is the nickname of Augusta Victoria of Schleswig-Holstein, the last German Empress and Queen of Prussia as the wife of Kaiser Wilhelm II.
-
B.
Dona i Ocell
Dona i Ocell is a large, colorful public sculpture in Barcelona by Catalan artist Joan Miró, known for its surreal, totem-like form and symbolic fusion of feminine and avian elements.
-
C.
Doña Sol
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
-
D.
Morenada
Morenada is a traditional Bolivian folk dance and music style, characterized by heavy costumes, elaborate masks, and rhythms that evoke the labor of African slaves in colonial mines.
-
E.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281f488a8819082f40dfdd12f29a2 |
completed | April 29, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:44 p.m.