Triple
T17015359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHF |
E412806
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jay Levey |
E1248219
|
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: Jay Levey | Statement: [UHF, writer, Jay Levey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Levey Context triple: [UHF, writer, Jay Levey]
-
A.
Jay Levey
chosen
Jay Levey is an American film and music video director best known for directing "Weird Al" Yankovic’s 1989 cult comedy film *UHF* and many of the musician’s iconic videos.
-
B.
Joel David Moore
Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
-
C.
Michael Rapaport
Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
-
D.
Jonathan Dancy
Jonathan Dancy is a British moral philosopher best known for his work on moral particularism and contributions to contemporary ethical theory.
-
E.
Bill Hartnett
Bill Hartnett is a person notable enough to be recognized as a bearer of the surname Hartnett, though specific widely known achievements or roles are not clearly documented.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47f198c8190b0473f638101f606 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed0b78481909a11c1529db6c1cd |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:33 a.m.