Triple
T17270923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indalecio Prieto |
E419254
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Prieto |
E419254
|
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: Prieto | Statement: [Indalecio Prieto, familyName, Prieto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prieto Context triple: [Indalecio Prieto, familyName, Prieto]
-
A.
Prieto
chosen
Prieto is a Spanish surname borne by numerous notable figures in politics, arts, and sports.
-
B.
Piñero
Piñero is a 2001 biographical drama film in which Benjamin Bratt portrays the life and turbulent career of Nuyorican poet and playwright Miguel Piñero.
-
C.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
D.
Pascual
Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Pacheco
Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4a3c4c81908a28c9f8bdf648ca |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794a09b8819086da30f38c6d4c20 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.