Triple
T11764555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleonora Giulia Amalia Duse |
E279746
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tebaldo Checchi |
E425394
|
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: Tebaldo Checchi | Statement: [Eleonora Giulia Amalia Duse, spouse, Tebaldo Checchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tebaldo Checchi Context triple: [Eleonora Giulia Amalia Duse, spouse, Tebaldo Checchi]
-
A.
Tebaldo Checchi
chosen
Tebaldo Checchi was an Italian actor best known as the husband of renowned stage actress Eleonora Duse.
-
B.
Tullio Vecchietti
Tullio Vecchietti was an Italian politician and journalist known for his role in the Italian left, particularly within socialist and communist movements in the mid-20th century.
-
C.
Ettore Fagiuoli
Ettore Fagiuoli was an Italian architect known for his early 20th-century stadium and civic building designs.
-
D.
Tullio Gonnelli
Tullio Gonnelli was an Italian sprinter who competed in the 1936 Berlin Olympics, specializing in short-distance track events.
-
E.
Enrico Barra
Enrico Barra is an individual notable for bearing the surname Barra, though specific widely recognized biographical details about him are not well documented.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5248e0881909ed1b4df7be422f7 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb02b55f4819098f2b18fcf17ef0e |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:41 p.m.