Triple
T12589156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Arenas |
E300553
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rafael Arenas |
E300553
|
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: Rafael Arenas | Statement: [Rafael Arenas, name, Rafael Arenas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael Arenas Context triple: [Rafael Arenas, name, Rafael Arenas]
-
A.
Rafael Arenas
chosen
Rafael Arenas is an individual notable enough to be recognized as a prominent bearer of the surname Arenas.
-
B.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
-
C.
Rafael Maroto
Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
-
D.
Eduard Fernández
Eduard Fernández is a Spanish actor known for his intense and versatile performances in film, television, and theater.
-
E.
Jorge Vilda
Jorge Vilda is a Spanish football manager best known for his long and controversial tenure in charge of Spain’s women’s national team, culminating in their 2023 World Cup triumph before his dismissal.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b1c7c081909154a59516b59d63 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 5:06 p.m.