Triple
T18336324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Katz |
E439277
|
entity |
| Predicate | participantIn |
P149
|
FINISHED |
| Object | Mr. America |
—
|
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: Mr. America | Statement: [Mike Katz, participantIn, Mr. America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. America Context triple: [Mike Katz, participantIn, Mr. America]
-
A.
Mr. America
Mr. America is a masked patriotic wrestling persona portrayed by Terry Gene Bollea, better known as Hulk Hogan, in World Wrestling Entertainment.
-
B.
Mr. America
chosen
Mr. America is a historic American bodybuilding competition title regarded as one of the sport’s most prestigious early championships.
-
C.
American Hero
American Hero is a political satire novel by Larry Beinhart that imagines a manufactured war used to manipulate a U.S. presidential election.
-
D.
Hello America
"Hello America" is a stand-up comedy special by British comedian Nish Kumar, known for its sharp political satire and observational humor.
-
E.
Any Man in America
Any Man in America is a 2011 studio album by alternative rock band Blue October that explores themes of divorce, fatherhood, and emotional turmoil.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.