Triple
T22502431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosanna Cato |
E556307
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rosanna Cato |
—
|
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: Rosanna Cato | Statement: [Rosanna Cato, name, Rosanna Cato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosanna Cato Context triple: [Rosanna Cato, name, Rosanna Cato]
-
A.
Rosanna Cato
chosen
Rosanna Cato was the first wife of William B. Travis, the famed commander at the Battle of the Alamo.
-
B.
Rosanna Cambron
Rosanna Cambron is an American political activist who serves as a leading figure in the Communist Party USA.
-
C.
Rosanna Cabot
Rosanna Cabot is a fictional character from the long-running soap opera "As the World Turns," best known for being portrayed by actress Cady McClain.
-
D.
Maria Candiano
Maria Candiano was a Venetian noblewoman of the influential Candiano family and the wife of Doge Pietro II Orseolo, making her the mother of Doge Otto Orseolo.
-
E.
Tharita Cesaroni
Tharita Cesaroni is an Italian film producer and cinematographer known for her work behind the camera and for being married to actor Dermot Mulroney.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb6b47481909855fe93e95da7e7 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.