Triple
T9601892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preki |
E231869
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Predrag |
E394139
|
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: Predrag | Statement: [Preki, givenName, Predrag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Predrag Context triple: [Preki, givenName, Predrag]
-
A.
Predrag
chosen
Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
-
B.
Predrag Radosavljević
Predrag Radosavljević, better known as Preki, is a retired Serbian-American attacking midfielder and coach who starred in Major League Soccer and represented the United States national team.
-
C.
Pavle
Pavle is a South Slavic male given name commonly used in countries such as Serbia, Croatia, and Montenegro, equivalent to Paul in English.
-
D.
Predrag Danilović
Predrag Danilović is a former Serbian professional basketball star, widely regarded as one of Europe’s top shooting guards of the 1990s and a key figure for both club and national teams.
-
E.
Petar
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3a49608190ad1f65195e4d5cda |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f641c3081908084a3574e20457f |
completed | April 4, 2026, 11:31 p.m. |
Created at: March 30, 2026, 8:07 p.m.