Triple
T15080629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve King |
E380129
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Randy Feenstra |
E418064
|
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: Randy Feenstra | Statement: [Steve King, succeededBy, Randy Feenstra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Feenstra Context triple: [Steve King, succeededBy, Randy Feenstra]
-
A.
Randy Feenstra
chosen
Randy Feenstra is a Republican politician and U.S. Representative from Iowa known for his conservative positions on agriculture, fiscal policy, and social issues.
-
B.
Randy Mueller
Randy Mueller is an American football executive known for serving as a general manager for multiple professional teams, including in the NFL and the Alliance of American Football.
-
C.
Randy Steckle
Randy Steckle is a central medical student character in the 1990 psychological horror film "Flatliners," involved in dangerous experiments with near-death experiences.
-
D.
Todd Boekelheide
Todd Boekelheide is an American film composer and sound editor known for his work on numerous documentaries and feature films, including Academy Award–winning projects.
-
E.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff80008c88190840f94222f867478 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2d21348190a8045cf1847396e0 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 3:03 a.m.