Triple
T14655514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Education |
E344097
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | José Salcedo |
E551533
|
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: José Salcedo | Statement: [Bad Education, editedBy, José Salcedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Salcedo Context triple: [Bad Education, editedBy, José Salcedo]
-
A.
José Salcedo
chosen
José Salcedo was a renowned Spanish film editor best known for his long-standing collaboration with director Pedro Almodóvar on numerous acclaimed films.
-
B.
Juan Valeriano Zeballos
Juan Valeriano Zeballos was a historical figure known for his active role in Paraguay’s struggle to achieve independence from colonial rule.
-
C.
Manuel Ochoa
Manuel Ochoa is a personal name shared by multiple individuals, including figures in fields such as sports, arts, and public life.
-
D.
José Paciano
José Paciano is the given first name of Jose P. Laurel, who served as President of the Philippines during the Japanese occupation in World War II.
-
E.
José María Bocanegra
José María Bocanegra was a Mexican lawyer and politician who briefly served as interim president of Mexico during the turbulent early years of the republic.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1bb1c48190b5d2b4167c756abf |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:27 a.m.