Triple
T21717501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skippy |
E536066
|
entity |
| Predicate | hasAwardNominee |
P10684
|
FINISHED |
| Object | Sam Mintz |
—
|
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 Mintz | Statement: [Skippy, hasAwardNominee, Sam Mintz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Mintz Context triple: [Skippy, hasAwardNominee, Sam Mintz]
-
A.
Sam Mintz
chosen
Sam Mintz was an American screenwriter active during the early to mid-20th century, known for his work on Hollywood films.
-
B.
Earl "Hymie" Weiss
Earl "Hymie" Weiss was a prominent Prohibition-era Chicago mobster and leader of the North Side Gang, known as a fierce rival of Al Capone.
-
C.
George A. Hormel
George A. Hormel was an American entrepreneur and founder of the Hormel Foods Corporation, best known for creating the meatpacking company that later introduced products like SPAM.
-
D.
Neil Hamburger
Neil Hamburger is the alter ego of American comedian Gregg Turkington, known for his deliberately awkward, anti-comedy stand-up persona and offbeat comedy albums.
-
E.
Peter Hershey
Peter Hershey is the son of Nobel Prize–winning bacteriologist and geneticist Alfred Hershey.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96babdc81908226ec043dbe7431 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.