Triple
T8239569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lúcia Moniz |
E192499
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Luz Moniz |
E716982
|
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: Luz Moniz | Statement: [Lúcia Moniz, hasChild, Luz Moniz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luz Moniz Context triple: [Lúcia Moniz, hasChild, Luz Moniz]
-
A.
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
-
B.
Lucia Moniz
Lucia Moniz is a Portuguese actress and singer best known internationally for her role in the film "Love Actually."
-
C.
Lúcia Moniz
chosen
Lúcia Moniz is a Portuguese actress and singer best known internationally for her role as Aurelia in the romantic comedy film "Love Actually."
-
D.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
E.
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.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783cce5c8190bf116704d2923ade |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6b591d081909e1fb450508197f2 |
completed | April 2, 2026, 1:30 a.m. |
Created at: March 30, 2026, 5:47 p.m.