Triple
T17963802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon |
E449149
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Simón |
—
|
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: Simón | Statement: [Simon, hasVariant, Simón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simón Context triple: [Simon, hasVariant, Simón]
-
A.
Simón
chosen
Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
-
B.
Simón
Simón is the young adopted boy whose mysterious behavior and disappearance drive the central horror and emotional tension in the Spanish film "The Orphanage."
-
C.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
D.
Tingo María
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
-
E.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b135cd2c8190a6190cf6611dbe08 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.