Triple
T7724633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina Pato |
E175098
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cristina Pato |
E175098
|
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: Cristina Pato | Statement: [Cristina Pato, name, Cristina Pato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cristina Pato Context triple: [Cristina Pato, name, Cristina Pato]
-
A.
Cristina Pato
chosen
Cristina Pato is a Galician bagpiper, pianist, and composer renowned for blending traditional Galician music with jazz and classical styles and for her collaborations with Yo-Yo Ma’s Silk Road Ensemble.
-
B.
Maria Barroso
Maria Barroso was a prominent Portuguese actress, politician, and humanitarian who served as First Lady of Portugal and played a significant role in the country’s cultural and democratic life.
-
C.
Madalena Gusmão
Madalena Gusmão is an individual known primarily as the child of José Alexandre.
-
D.
Rui Rio
Rui Rio is a Portuguese politician who led the Social Democratic Party (PSD) and served as mayor of Porto.
-
E.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7031279708190a3a5fb64f9206974 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b51faa348190b4fa0b5a307c83db |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:05 p.m.