Triple
T10362403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederic Soler |
E244168
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Soler |
E699172
|
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: Soler | Statement: [Frederic Soler, familyName, Soler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soler Context triple: [Frederic Soler, familyName, Soler]
-
A.
Soler
chosen
Soler is a Spanish surname most notably associated with individuals in the arts, sports, and public life, including musicians, composers, and athletes.
-
B.
Santamaría
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
-
C.
Luis Sera
Luis Sera is a witty former researcher who aids Leon S. Kennedy in combating the Las Plagas parasite in the survival horror game Resident Evil 4.
-
D.
Raimón
Raimón is a given name, commonly used in Spanish- and Catalan-speaking regions, that serves as a variant of the name Ramón.
-
E.
Carlos Sanz
Carlos Sanz is a Spanish-American character actor known for his supporting roles in action and crime films and television series.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e962f08c8190a7ac489dc524510d |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750bcf00081909b44ffa5df76aec1 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.