Triple
T18731351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Cleaning |
E458041
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Glenn Williamson |
—
|
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: Glenn Williamson | Statement: [Sunshine Cleaning, producer, Glenn Williamson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Williamson Context triple: [Sunshine Cleaning, producer, Glenn Williamson]
-
A.
Glenn Williamson
chosen
Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
-
B.
Glen Williams
Glen Williams is a small historic village community located within the town of Halton Hills in Ontario, Canada.
-
C.
Don Williamson
Don Williamson was an American businessman and politician who served as the controversial mayor of Flint, Michigan in the 2000s.
-
D.
Glenn Dennis
Glenn Dennis was a New Mexico mortician and key Roswell incident witness who co-founded the International UFO Museum and Research Center in Roswell.
-
E.
Glen Leach
Glen Leach is a musician best known as a member of the British rock band Wishbone Ash.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.