Triple
T23055593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juscelino Kubitschek |
E574146
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | JK |
—
|
NE NERFINISHED |
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: JK | Statement: [Juscelino Kubitschek, hasNickname, JK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JK Context triple: [Juscelino Kubitschek, hasNickname, JK]
-
A.
JK
chosen
JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
-
B.
K_J
K_J is the standard symbol used to denote the Josephson constant, a fundamental physical constant relating voltage and frequency in superconducting Josephson junctions.
-
C.
Jac
Jac is the given name of Jac Holzman, the American music executive best known as the founder of Elektra Records.
-
D.
Jak
Jak is the main protagonist of the Jak and Daxter video game series, a heroic adventurer who battles oppressive regimes and dark forces across multiple worlds.
-
E.
Kij
Kij is a small village located within the administrative district of Gmina Pierzchnica in south-central Poland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867f71508190ad4513c6de2453e6 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.