Triple
T18852090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario Robles |
E461064
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rosario Robles |
—
|
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: Rosario Robles | Statement: [Rosario Robles, name, Rosario Robles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosario Robles Context triple: [Rosario Robles, name, Rosario Robles]
-
A.
Rosario Robles
chosen
Rosario Robles is a Mexican politician who has held prominent cabinet positions and served as Mexico City’s first female mayor.
-
B.
Angel Cabrera
Ángel Cabrera is an Argentine professional golfer best known for winning the Masters Tournament in 2009 and the U.S. Open in 2007.
-
C.
Quique Sánchez Flores
Quique Sánchez Flores is a Spanish football manager and former defender known for coaching several La Liga clubs and winning the UEFA Europa League with Atlético Madrid.
-
D.
Guillermo Estrella
Guillermo Estrella is an actor best known for his role in Alejandro González Iñárritu’s acclaimed drama film "Biutiful."
-
E.
Francisco Cano
Francisco Cano is a personal name shared by several individuals, most commonly found in Spanish-speaking countries.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05995e88190b189864fcbda68e5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.