Triple
T8207290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Town |
E191718
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kent Smith |
E320826
|
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: Kent Smith | Statement: [Magic Town, starring, Kent Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent Smith Context triple: [Magic Town, starring, Kent Smith]
-
A.
Kent Smith
chosen
Kent Smith was an American film and television actor known for his roles in classic Hollywood thrillers and dramas, including notable appearances in 1940s suspense films.
-
B.
Carl Smith
Carl Smith was an American country music singer and guitarist prominent in the 1950s, known for hits like "Hey Joe" and for his influential honky-tonk style.
-
C.
Christopher McDonald
Christopher McDonald is an American character actor best known for his frequent supporting roles in film and television, including his iconic turn as Shooter McGavin in the comedy "Happy Gilmore."
-
D.
Jeffrey Dean
Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
-
E.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726b520081908ce4a03bd14dfcdf |
completed | March 31, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedda69148190b8c221221de5dae5 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:43 p.m.