Triple
T23023196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys and Girls |
E573224
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Jerzy Zieliński |
—
|
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: Jerzy Zieliński | Statement: [Boys and Girls, cinematographyBy, Jerzy Zieliński]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerzy Zieliński Context triple: [Boys and Girls, cinematographyBy, Jerzy Zieliński]
-
A.
Jerzy Zieliński
chosen
Jerzy Zieliński is a Polish cinematographer known for his work on both European and Hollywood films, including the dark comedy thriller "Teaching Mrs. Tingle."
-
B.
Grzegorz Napieralski
Grzegorz Napieralski is a Polish left-wing politician who served as a prominent leader of the Democratic Left Alliance and a member of the Polish parliament and European Parliament.
-
C.
Andrzej Piekarski
Andrzej Piekarski is a Polish individual notable enough to be recognized as a bearer of the surname Piekarski.
-
D.
Tomasz Piekarski
Tomasz Piekarski is an individual notable enough to be recognized as a namesake of the surname Piekarski.
-
E.
Marek Piekarski
Marek Piekarski is a Polish former footballer known for playing as a midfielder in 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183ea23088190b2f42d9bf01514ac |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.