Triple
T19796405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young in Heart |
E475552
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Richard Carlson |
—
|
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: Richard Carlson | Statement: [The Young in Heart, starring, Richard Carlson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Carlson Context triple: [The Young in Heart, starring, Richard Carlson]
-
A.
Richard Carlson
chosen
Richard Carlson was an American actor and director best known for his roles in 1950s science fiction and horror films such as "Creature from the Black Lagoon" and "It Came from Outer Space."
-
B.
Robert James Carlson
Robert James Carlson is an American prelate of the Roman Catholic Church who served as the Archbishop of St. Louis.
-
C.
Jack Carlson
Jack Carlson is an American former professional ice hockey player who competed in the World Hockey Association and National Hockey League during the 1970s and early 1980s.
-
D.
Arthur Carlson
Arthur Carlson is a bumbling yet endearing radio station manager character from the WKRP in Cincinnati television franchise.
-
E.
Ron Carlson
Ron Carlson is an American author and educator known for his acclaimed short stories and novels that often explore everyday lives with humor and emotional depth.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c723548190ac9bfaecaf8afb13 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.