Triple
T18523793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPX |
E452660
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | John Reiser |
—
|
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: John Reiser | Statement: [UPX, developer, John Reiser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Reiser Context triple: [UPX, developer, John Reiser]
-
A.
John Reiser
chosen
John Reiser is a software developer best known for creating the UPX (Ultimate Packer for Executables) compression tool.
-
B.
Ken Kusterer
Ken Kusterer is a musician best known for his role as a member of the American psychedelic rock band Quicksilver Messenger Service.
-
C.
J. G. Hertzler
J. G. Hertzler is an American actor best known for his character roles in film and television, particularly in the Star Trek franchise.
-
D.
Charles Newirth
Charles Newirth is a veteran American film producer known for his work on major studio features and collaborations on high-profile Hollywood projects.
-
E.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.