Triple
T11460186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawel Pogorzelski |
E271633
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Fresh |
E673805
|
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: Fresh | Statement: [Pawel Pogorzelski, workedOn, Fresh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fresh Context triple: [Pawel Pogorzelski, workedOn, Fresh]
-
A.
Fresh
chosen
Fresh is a 1994 American crime drama film, produced by Lawrence Bender, that follows a young boy navigating the violent drug trade in New York City.
-
B.
Something Fresh
"Something Fresh" is a comic novel by P. G. Wodehouse that introduces the eccentric Blandings Castle setting and showcases his trademark lighthearted humor and intricate farce.
-
C.
Newness
Newness is a 2017 romantic drama film directed by Drake Doremus that explores the complexities of modern app-based relationships in Los Angeles.
-
D.
NEW
NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
-
E.
NEW
NEW is the vehicle registration code for the German town of Neustadt an der Waldnaab in Bavaria.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e91f1bb881909a9c36d837e4059b |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.