Triple
T16986543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Wagner |
E412081
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jack Paar |
E87146
|
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: Jack Paar | Statement: [Miriam Wagner, spouse, Jack Paar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Paar Context triple: [Miriam Wagner, spouse, Jack Paar]
-
A.
Jack Paar
chosen
Jack Paar was an influential American television host and comedian best known for transforming late-night TV during his tenure on The Tonight Show in the late 1950s and early 1960s.
-
B.
Hugh Downs
Hugh Downs was a prominent American broadcaster and television host best known for his long-running roles on programs like NBC’s Today and ABC’s newsmagazine 20/20.
-
C.
Bill Cullen
Bill Cullen was a prolific American radio and television game show host best known for his quick wit and long-running presence on numerous classic quiz and panel programs.
-
D.
Mel Allen
Mel Allen was a legendary American sportscaster best known as the longtime voice of the New York Yankees and one of baseball’s most iconic broadcasters.
-
E.
John Carson
John Carson is a fictional character appearing in the film "The Miracle Woman."
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27b58908190a643bcbd105b1849 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.