Triple
T2771754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Welke |
E61471
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Bill Welke |
E306176
|
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: Bill Welke | Statement: [Tim Welke, relative, Bill Welke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Welke Context triple: [Tim Welke, relative, Bill Welke]
-
A.
Bill Welke
chosen
Bill Welke is an American Major League Baseball umpire known for officiating numerous regular-season and postseason games.
-
B.
Steve Donahue
Steve Donahue is an American college basketball coach best known for leading Cornell University to multiple NCAA Tournament appearances, including a historic Sweet Sixteen run in 2010.
-
C.
Tom Luddy
Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
-
D.
Curt Rothenberger
Curt Rothenberger was a German jurist and high-ranking Nazi official who played a key role in implementing and justifying the Third Reich’s oppressive legal policies.
-
E.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6a23208190ba94c9a9f601a042 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03121c93481909bee6711fab0ee0a |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 9:57 p.m.