Triple
T1078623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Sánchez |
E23895
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sánchez |
E23895
|
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: Sánchez | Statement: [Pedro Sánchez, familyName, Sánchez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sánchez Context triple: [Pedro Sánchez, familyName, Sánchez]
-
A.
Pedro Sánchez
chosen
Pedro Sánchez is a Spanish politician who has served as Prime Minister and leader of the Spanish Socialist Workers' Party (PSOE).
-
B.
Santiago Abascal
Santiago Abascal is a Spanish politician best known as the leader and co-founder of the right-wing populist party Vox.
-
C.
Fernández
Fernández is a common Spanish-language surname widely used across Spain and Latin America.
-
D.
Juan Carlos Aramburu
Juan Carlos Aramburu was an Argentine Roman Catholic cardinal who served as Archbishop of Buenos Aires and was a prominent figure in the country’s church during the late 20th century.
-
E.
Mariano
Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b943b41481909b24050ca7e78971 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c2247888190a7ab75b447b4773f |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.