Triple
T6712412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Branko Lustig |
E153177
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Branko Lustig |
E153177
|
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: Branko Lustig | Statement: [Branko Lustig, name, Branko Lustig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Branko Lustig Context triple: [Branko Lustig, name, Branko Lustig]
-
A.
Branko Lustig
chosen
Branko Lustig was a Croatian film producer and Holocaust survivor best known for his Academy Award–winning work on major historical epics such as Schindler’s List and Gladiator.
-
B.
Branko Grünbaum
Branko Grünbaum was a Croatian-Israeli mathematician renowned for his influential work in discrete geometry, particularly on convex polytopes, tilings, and combinatorial geometry.
-
C.
Paul Varjak
Paul Varjak is a struggling writer and Holly Golightly’s neighbor and love interest in Truman Capote’s novella and the film adaptation "Breakfast at Tiffany’s."
-
D.
Roman Kroitor
Roman Kroitor was a Canadian filmmaker and innovator best known as a co-founder and creative pioneer of the IMAX large-format cinema technology.
-
E.
Paul Tabori
Paul Tabori was a Hungarian-British writer, journalist, and screenwriter known for his work in mid-20th-century film and literature, often exploring psychological and speculative themes.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d108acc08190b38b43161d8912b9 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700924fdc8190990187fbc1b3ab20 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.