Triple
T14874039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transamerica |
E349820
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Stephen Kazmierski |
E849597
|
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: Stephen Kazmierski | Statement: [Transamerica, cinematographyBy, Stephen Kazmierski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Kazmierski Context triple: [Transamerica, cinematographyBy, Stephen Kazmierski]
-
A.
Stephen Kazmierski
chosen
Stephen Kazmierski is a cinematographer best known for his work on the acclaimed independent film "You Can Count on Me."
-
B.
Edward Kazmierczak
Edward Kazmierczak is a former Polish footballer best known for his time playing for Stal Mielec.
-
C.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
-
D.
John Matuszak
John Matuszak was an American football defensive end turned actor, best known for playing Sloth in the film "The Goonies."
-
E.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:55 a.m.