Triple
T14975933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susanne Shore |
E373447
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Pete Ricketts |
E76083
|
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: Pete Ricketts | Statement: [Susanne Shore, spouse, Pete Ricketts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Ricketts Context triple: [Susanne Shore, spouse, Pete Ricketts]
-
A.
Pete Ricketts
chosen
Pete Ricketts is an American businessman and Republican politician who served as the governor of Nebraska and later as a U.S. senator from the state.
-
B.
Ben Sasse
Ben Sasse is an American academic and politician who served as a U.S. Senator from Nebraska before becoming president of the University of Florida.
-
C.
Nick Thune
Nick Thune is an American stand-up comedian and actor known for his dry, absurdist humor and appearances in film and television.
-
D.
Bob Engemann
Bob Engemann was an American singer best known as one of the founding members of the pop vocal trio The Lettermen, popular in the 1960s for their smooth harmonies and romantic ballads.
-
E.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9692e4fc8190a1194a41fc8a832c |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:51 a.m.