Triple
T15506503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Levenson |
E379095
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sam Levenson |
—
|
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: Sam Levenson | Statement: [Sam Levenson, name, Sam Levenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Levenson Context triple: [Sam Levenson, name, Sam Levenson]
-
A.
Sam Levenson
chosen
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
-
B.
Sy Levin
Sy Levin is a film producer best known for his work on the 1987 adaptation of "Flowers in the Attic."
-
C.
Scott Levenson
Scott Levenson is a film producer known for his work on independent movies such as the psychological horror drama "Jack Goes Home."
-
D.
Sam Greisman
Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
-
E.
Len Goldstein
Len Goldstein is a television producer known for his executive production work on series such as "The Astronaut Wives Club."
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
Created at: April 10, 2026, 3:55 a.m.