Triple
T12798726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirjana Marković |
E305955
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Marković |
E765117
|
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: Marković | Statement: [Mirjana Marković, familyName, Marković]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marković Context triple: [Mirjana Marković, familyName, Marković]
-
A.
Marković
chosen
Marković is a South Slavic surname, common in countries like Serbia and Croatia, typically derived from the given name Marko.
-
B.
Medaković
Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
-
C.
Milinković-Savić
Milinković-Savić is the surname of Serbian professional footballer Sergej Milinković-Savić, a prominent midfielder known for his physical presence, technique, and goal-scoring ability.
-
D.
Rajaković
Rajaković is a Serbian surname most notably associated with NBA coach Darko Rajaković.
-
E.
Mitrović
Mitrović is a common Serbian surname most prominently associated with professional footballer Aleksandar Mitrović.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6f858c8190915ede38e9a6a2df |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850f9ae4819094599b48d8d3a074 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.