Triple
T22985666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galen Rupp |
E571599
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Galen Rupp |
—
|
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: Galen Rupp | Statement: [Galen Rupp, name, Galen Rupp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galen Rupp Context triple: [Galen Rupp, name, Galen Rupp]
-
A.
Galen Rupp
chosen
Galen Rupp is an American long-distance runner and Olympic medalist known for his success in track and marathon events.
-
B.
Matthew Centrowitz Jr.
Matthew Centrowitz Jr. is an American middle-distance runner best known for winning the gold medal in the 1500 meters at the 2016 Rio Olympics.
-
C.
David Rudisha
David Rudisha is a Kenyan middle-distance runner and world-record holder in the 800 meters, renowned for his dominant Olympic and World Championship performances.
-
D.
Eliud Kipchoge
Eliud Kipchoge is a Kenyan long-distance runner widely regarded as one of the greatest marathoners in history, known for breaking the two-hour barrier in an unofficial marathon event.
-
E.
Jeffrey Gaines
Jeffrey Gaines is an American singer-songwriter and guitarist known for his emotive vocal style and acoustic rock performances.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182996ee08190ab74014ee7ecac2b |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.