Triple
T16735395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craveiro Lopes |
E406703
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Óscar Carmona |
—
|
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: Óscar Carmona | Statement: [Craveiro Lopes, precededBy, Óscar Carmona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Óscar Carmona Context triple: [Craveiro Lopes, precededBy, Óscar Carmona]
-
A.
Óscar Carmona
chosen
Óscar Carmona was a Portuguese military officer and politician who served as President of Portugal during the early decades of the Estado Novo authoritarian regime.
-
B.
Antonio Reynoso
Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
-
C.
Carmelo Gómez
Carmelo Gómez is a Spanish film and theater actor known for his intense performances in acclaimed 1990s Spanish cinema, including collaborations with director Julio Medem.
-
D.
Carlos Molina
Carlos Molina is a personal name shared by multiple notable individuals, including professional athletes and artists from Spanish-speaking countries.
-
E.
Eduard Fernández
Eduard Fernández is a Spanish actor known for his intense and versatile performances in film, television, and theater.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c39c570819088723d59242c5c5c |
completed | April 18, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.