Triple
T16693924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Matsko |
E405663
|
entity |
| Predicate | coachOf |
P2169
|
FINISHED |
| Object | St. Louis Rams |
E22109
|
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: St. Louis Rams | Statement: [John Matsko, coachOf, St. Louis Rams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Louis Rams Context triple: [John Matsko, coachOf, St. Louis Rams]
-
A.
Los Angeles Rams
chosen
The Los Angeles Rams are a professional American football team in the NFL known for their multiple Super Bowl appearances and championships.
-
B.
Rams
Rams is the short name for the Regina Rams, a Canadian university football team representing the University of Regina.
-
C.
Rams
The Rams are an Australian rules football and netball club team based in Deniliquin, New South Wales.
-
D.
Rams
The Rams are the athletic teams representing Colorado State University in NCAA Division I sports.
-
E.
Rams
The Rams is the nickname for Suffolk University's athletic teams and student community.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eab93a081909aedc45f3f8f0e10 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919acd308190a3f29040554b9cfc |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.