Triple
T20881113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso Peláez |
E514149
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Peláez |
—
|
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: Peláez | Statement: [Alfonso Peláez, hasSurname, Peláez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peláez Context triple: [Alfonso Peláez, hasSurname, Peláez]
-
A.
Peláez
chosen
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
B.
De la Peña
De la Peña is a Spanish surname typically indicating origin from a rocky or cliff-like geographical feature.
-
C.
Gutiérrez Muñoz
Gutiérrez Muñoz is a locality in the province of Ávila, Spain, historically noted as the place where King Alfonso VIII of Castile died.
-
D.
José Palacios
José Palacios is a character in Gabriel García Márquez’s novel "The General in His Labyrinth," depicted as the loyal servant and companion of Simón Bolívar during the liberator’s final journey.
-
E.
González Catán
González Catán is a populous suburban city in the Greater Buenos Aires area of Argentina, known for its residential neighborhoods and industrial activity.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.