Triple
T14657114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clean and Sober |
E344139
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Glenn Gordon Caron |
E790641
|
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: Glenn Gordon Caron | Statement: [Clean and Sober, producer, Glenn Gordon Caron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Gordon Caron Context triple: [Clean and Sober, producer, Glenn Gordon Caron]
-
A.
Glenn Gordon Caron
chosen
Glenn Gordon Caron is an American television writer, director, and producer best known for creating the hit series "Moonlighting" and other character-driven dramas.
-
B.
Fred Karlin
Fred Karlin was an American composer best known for his film and television scores, particularly during the 1960s and 1970s.
-
C.
Glenn Gilger
Glenn Gilger is an American child voice actor best known for providing the voice of one of the Peanuts characters in the animated film "A Boy Named Charlie Brown."
-
D.
Fred Caruso
Fred Caruso is an American film producer best known for his work on David Lynch’s acclaimed neo-noir film "Blue Velvet."
-
E.
Glenn Vernon
Glenn Vernon was an American film and stage actor active primarily in the 1940s and 1950s, known for his supporting roles in Hollywood productions.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07acd748190b2821dee21ecd740 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:27 a.m.