Triple
T199840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnar Nelson |
E4078
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gunnar Nelson |
E4078
|
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: Gunnar Nelson | Statement: [Gunnar Nelson, name, Gunnar Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnar Nelson Context triple: [Gunnar Nelson, name, Gunnar Nelson]
-
A.
Gunnar Nelson
chosen
Gunnar Nelson is an Icelandic mixed martial artist and Brazilian jiu-jitsu specialist known for his grappling-focused fighting style in the UFC.
-
B.
Howard Da Silva
Howard Da Silva was an American character actor and singer known for his work on Broadway and in film, including notable roles in classic musicals and dramas.
-
C.
Jonas Lie
Jonas Lie was a prominent Norwegian novelist and short story writer of the late 19th century, known for his realistic depictions of Norwegian society and coastal life.
-
D.
John Dustin Archbold
John Dustin Archbold was an American industrialist and key executive of the Standard Oil Company who became one of the most prominent figures in the early U.S. petroleum industry.
-
E.
Don Garber
Don Garber is an American sports executive best known for leading the growth and expansion of Major League Soccer into a stable, widely recognized professional soccer league in North America.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcc6dc88190b8c24b485588dfe4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31c9530a88190b04a08b521fcd207 |
completed | Feb. 28, 2026, 4:49 p.m. |
Created at: Feb. 28, 2026, 2:44 a.m.