Triple
T8035913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Pryce |
E187105
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Juan Perón |
E450893
|
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: Juan Perón | Statement: [Jonathan Pryce, characterPortrayed, Juan Perón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Perón Context triple: [Jonathan Pryce, characterPortrayed, Juan Perón]
-
A.
Juan Domingo Perón
chosen
Juan Domingo Perón was a three-time president of Argentina and influential populist leader whose Peronist movement reshaped the country’s political and social landscape in the mid-20th century.
-
B.
Tomás Allende Pesce
Tomás Allende Pesce was a Chilean politician and diplomat, and a member of the prominent Allende family.
-
C.
Raúl Alfonsín
Raúl Alfonsín was an Argentine lawyer and politician who served as President of Argentina from 1983 to 1989, leading the country’s return to democracy after military rule.
-
D.
Gabriel González Videla
Gabriel González Videla was a Chilean politician and lawyer who served as President of Chile from 1946 to 1952.
-
E.
Fernández Vial
Fernández Vial is a Chilean football club based in Concepción, known for its historic roots and passionate local support.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef68c6081908727d17238b3522a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.