Triple
T13147851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Days on Mars |
E312385
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Goran Kostić |
E832843
|
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: Goran Kostić | Statement: [The Last Days on Mars, castMember, Goran Kostić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goran Kostić Context triple: [The Last Days on Mars, castMember, Goran Kostić]
-
A.
Goran Kostić
chosen
Goran Kostić is a Bosnian-born British actor known for his work in film and television, including a prominent role in Angelina Jolie’s war drama "In the Land of Blood and Honey."
-
B.
Dragan Perović
Dragan Perović is a Yugoslav sports official best known for delivering the Judges' Oath at the 1984 Winter Olympics in Sarajevo.
-
C.
Vladan Đokić
Vladan Đokić is a Serbian architect and academic who serves as a leading figure in higher education at the University of Belgrade.
-
D.
Petar Nedeljković
Petar Nedeljković was a Yugoslav military officer who served as a commander in the Royal Yugoslav Army during the German invasion of Yugoslavia in World War II.
-
E.
Mirkó Krstić
Mirkó Krstić is a film producer known for his work on the romantic drama "Chocolat."
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b98a7c48190a2ca0ec7b9bd8d19 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 9:10 p.m.