Triple
T14951466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saša Dončić |
E372802
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Luka Dončić |
E75734
|
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: Luka Dončić | Statement: [Saša Dončić, child, Luka Dončić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luka Dončić Context triple: [Saša Dončić, child, Luka Dončić]
-
A.
Luka Dončić
chosen
Luka Dončić is a Slovenian NBA superstar guard/forward renowned for his elite playmaking, scoring, and clutch performances.
-
B.
Saša Dončić
Saša Dončić is a Slovenian former professional basketball player and coach, best known as the father of NBA star Luka Dončić.
-
C.
Nikola Jokić
Nikola Jokić is a Serbian professional basketball center for the Denver Nuggets, renowned for his elite playmaking, scoring efficiency, and multiple NBA MVP awards.
-
D.
Luka Garza
Luka Garza is an American professional basketball player best known for his dominant collegiate career at the University of Iowa, where he became one of the most decorated players in school and Big Ten history.
-
E.
Dario Šarić
Dario Šarić is a Croatian professional basketball player known for his versatile forward play in top European leagues and the NBA.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968f25e08190bfbf7a3541f79add |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:39 a.m.