Triple
T11683735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda of Savoy |
E277684
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Margherita |
E100329
|
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: Margherita | Statement: [Yolanda of Savoy, givenName, Margherita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margherita Context triple: [Yolanda of Savoy, givenName, Margherita]
-
A.
Margherita
chosen
Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
-
B.
Margherita
Margherita is a coal-mining town in Assam, India, known for its tea gardens and proximity to the Patkai hills near the India–Myanmar border.
-
C.
pizza Margherita
Pizza Margherita is a classic Italian pizza topped with tomatoes, mozzarella, fresh basil, and olive oil, symbolizing the colors of the Italian flag.
-
D.
Caprese
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
-
E.
Margherita Buy
Margherita Buy is an acclaimed Italian actress known for her nuanced performances in contemporary Italian cinema and frequent collaborations with prominent directors.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef142269d08190a9e5cf8d6268168b |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.