Triple
T6827102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luka and the Fire of Life |
E157042
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Luka |
E621526
|
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 | Statement: [Luka and the Fire of Life, protagonist, Luka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luka Context triple: [Luka and the Fire of Life, protagonist, Luka]
-
A.
Luka
Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
-
B.
Luka
chosen
Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
-
C.
Matija
Matija is a South Slavic given name, equivalent to the English name Matthew.
-
D.
Luka Pecel
Luka Pecel is the husband of American actress Sasha Alexander, known for her roles in television series such as "NCIS" and "Rizzoli & Isles."
-
E.
Julijan
Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58583a4819099edbf753c7c7087 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fa6fc80819081f012ea2207c25a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.