Triple
T17388301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Luque |
E422745
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pedro Luque |
—
|
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: Pedro Luque | Statement: [Pedro Luque, name, Pedro Luque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedro Luque Context triple: [Pedro Luque, name, Pedro Luque]
-
A.
Pedro Luque
chosen
Pedro Luque is a Uruguayan cinematographer known for his visually striking work on films such as "Society of the Snow" and "Don't Breathe."
-
B.
Fernando Carro
Fernando Carro is a Spanish sports executive best known for serving as the chief executive and chairman of German football club Bayer 04 Leverkusen.
-
C.
José Ángel Rojo
José Ángel Rojo is a former Spanish footballer known for playing as a midfielder, notably for Athletic Bilbao during the 1970s.
-
D.
Andrés Rojo
Andrés Rojo is an individual notable enough to be recognized as a prominent bearer of the surname Rojo.
-
E.
Rubén Ochandiano
Rubén Ochandiano is a Spanish actor known for his work in film, television, and theater, including collaborations with acclaimed director Pedro Almodóvar.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.