Triple
T16417366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandon Weeden |
E398723
|
entity |
| Predicate | formerLeague |
P5927
|
FINISHED |
| Object | NFL |
E2064
|
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: NFL | Statement: [Brandon Weeden, formerLeague, NFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFL Context triple: [Brandon Weeden, formerLeague, NFL]
-
A.
NFL
NFL is the IATA airport code for Naval Air Station Fallon, a U.S. Navy air facility in Nevada.
-
B.
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.
-
C.
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.
-
D.
National Football League
The National Football League is an annual Gaelic football competition in Ireland featuring inter-county teams organized by the Gaelic Athletic Association.
-
E.
NFL teams
NFL teams are the professional American football franchises that compete in the National Football League and collectively make up its membership.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328798a488190a5fad01c3c95584c |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6ca1bc8190a6c4f675ec8e3a53 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.