Triple
T23204417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Jenkins (American football) |
E580409
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | St. Louis Rams |
—
|
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: St. Louis Rams | Statement: [Billy Jenkins (American football), memberOfSportsTeam, St. Louis Rams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Louis Rams Context triple: [Billy Jenkins (American football), memberOfSportsTeam, 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
The Rams are the athletic teams representing Fordham University in intercollegiate sports.
-
C.
Rams
Rams is the short name for the Regina Rams, a Canadian university football team representing the University of Regina.
-
D.
Rams
The Rams are the athletic teams representing Winston-Salem State University, most notably its men's basketball program.
-
E.
Rams
The Rams are the sports teams representing King Country, commonly known by this nickname in regional competitions.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907b3e88819088a397a99456bf77 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.