Triple
T894000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John |
E19301
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Juan |
E49767
|
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 | Statement: [John, hasVariant, Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Context triple: [John, hasVariant, Juan]
-
A.
Juan
chosen
Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
-
B.
Juan
Juan is the given name of Juan Sebastián Elcano, the Spanish explorer who completed the first circumnavigation of the Earth.
-
C.
Jorge
Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
-
D.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
-
E.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b9b7eb88190b7fa4f9dbcc73d64 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:39 p.m.