Triple
T6589721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Damon |
E159318
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Luciana Barroso |
E45420
|
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: Luciana Barroso | Statement: [Stella Damon, childOf, Luciana Barroso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luciana Barroso Context triple: [Stella Damon, childOf, Luciana Barroso]
-
A.
Luciana Barroso
chosen
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
B.
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
-
C.
Beatriz Pimentel
Beatriz Pimentel was a Spanish noblewoman best known as the mother of Fernando Álvarez de Toledo, the powerful 3rd Duke of Alba and prominent military commander of the 16th century.
-
D.
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.
-
E.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeb201e88190808cf5779349f96c |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f78896b48190a8d993c207d01a7e |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:55 p.m.