Triple
T20534557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLS Cup 2017 |
E504158
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object | Allen Chapman |
—
|
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: Allen Chapman | Statement: [MLS Cup 2017, referee, Allen Chapman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen Chapman Context triple: [MLS Cup 2017, referee, Allen Chapman]
-
A.
Allen Chapman
chosen
Allen Chapman is an American professional soccer referee known for officiating high-profile Major League Soccer matches and cup finals.
-
B.
John H. Chapman
John H. Chapman was a Canadian engineer and space scientist widely regarded as the father of the Canadian space program.
-
C.
Charles Bohl
Charles Bohl is a screenwriter best known for his work on the 2002 psychological thriller film "Swimfan."
-
D.
Paul Satterfield
Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
-
E.
George Ratliff
George Ratliff is an American film director and screenwriter known for his work in psychological thrillers and character-driven dramas.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06df04081908fa95c6214f06093 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.