Triple
T17389961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrzej Sekuła |
E422792
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrzej Sekuła |
—
|
NE NERFINISHED |
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: Andrzej Sekuła | Statement: [Andrzej Sekuła, name, Andrzej Sekuła]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrzej Sekuła Context triple: [Andrzej Sekuła, name, Andrzej Sekuła]
-
A.
Andrzej Sekuła
chosen
Andrzej Sekuła is a Polish cinematographer best known for his work on influential films of the 1990s, particularly in collaboration with director Quentin Tarantino.
-
B.
Andrzej Pająk
Andrzej Pająk is a Polish politician known for serving as a senator in the Parliament of Poland.
-
C.
Andrzej Zawada
Andrzej Zawada was a pioneering Polish mountaineer and Himalayan climber renowned for leading groundbreaking winter expeditions in the high Himalayas.
-
D.
Andrzej Ryżewski
Andrzej Ryżewski is a Polish academic who has served as the rector of the University of Białystok.
-
E.
Andrzej Korzyński
Andrzej Korzyński was a Polish composer best known for his innovative and atmospheric film scores, particularly in European cinema of the 1970s and 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ab950d4819098d6a46f67c46191 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.