Triple
T18226033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Easley |
E436423
|
entity |
| Predicate | leagueParticipation |
P2209
|
FINISHED |
| Object | NFL |
—
|
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: NFL | Statement: [Kenny Easley, leagueParticipation, NFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFL Context triple: [Kenny Easley, leagueParticipation, NFL]
-
A.
NFL
NFL is the IATA airport code for Naval Air Station Fallon, a U.S. Navy air facility in Nevada.
-
B.
N.F.L.
"N.F.L." is a politically charged thrash metal song by Anthrax, known for its aggressive sound and critical lyrics.
-
C.
ESPN NFL Football
ESPN NFL Football is an American football video game, branded with ESPN presentation, that was released as part of Sega and Visual Concepts’ NFL 2K series.
-
D.
Liga de Fútbol Americano Profesional
The Liga de Fútbol Americano Profesional is Mexico’s top professional American football league, featuring multiple franchises competing at the highest national level.
-
E.
National Football League
chosen
The National Football League is the premier professional American football league in the United States, consisting of 32 teams that compete annually for the Super Bowl championship.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aeb4cc81908959413c368a2243 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.