Triple
T19796408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young in Heart |
E475552
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Hal C. Kern |
—
|
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: Hal C. Kern | Statement: [The Young in Heart, editedBy, Hal C. Kern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal C. Kern Context triple: [The Young in Heart, editedBy, Hal C. Kern]
-
A.
Hal C. Kern
chosen
Hal C. Kern was an American film editor best known for his Academy Award-winning work on classic Hollywood films, including "Gone with the Wind."
-
B.
Carl Nafzger
Carl Nafzger is an American Thoroughbred racehorse trainer best known for conditioning champions such as Kentucky Derby winner Unbridled.
-
C.
Harold Huber
Harold Huber was an American character actor known for his prolific work in 1930s and 1940s Hollywood films, often portraying suave or villainous supporting roles.
-
D.
Carl Kress
Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
-
E.
John Carl Buechler
John Carl Buechler was an American special effects artist, makeup designer, and film director known for his creature effects work on numerous 1980s and 1990s horror and fantasy films.
- 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.