Triple
T20701045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Humor Man |
E508780
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | William Demarest |
—
|
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: William Demarest | Statement: [The Good Humor Man, starred, William Demarest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Demarest Context triple: [The Good Humor Man, starred, William Demarest]
-
A.
William Demarest
chosen
William Demarest was an American character actor best known for his roles in numerous Hollywood films and the television series "My Three Sons."
-
B.
John H. Demarest
John H. Demarest was a 19th-century New Jersey politician who served in the state legislature and is buried in Hackensack Cemetery.
-
C.
William H. Demarest
William H. Demarest was an American educator who served as president of Rutgers College in the early 20th century.
-
D.
Robert N. Davoren
Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
-
E.
Arthur Dorman
Arthur Dorman was a British industrialist best known as a co-founder of the major steel and engineering firm Dorman Long and Co Ltd, which played a significant role in bridge building and heavy industry.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18bfac08190bf80beeb3ce1951a |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.