Triple
T21502482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Hanson |
E530511
|
entity |
| Predicate | worksOn |
P3
|
FINISHED |
| Object | NFL RedZone |
—
|
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 RedZone | Statement: [Scott Hanson, worksOn, NFL RedZone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFL RedZone Context triple: [Scott Hanson, worksOn, NFL RedZone]
-
A.
NFL RedZone
chosen
NFL RedZone is a specialized football television channel that provides live, commercial-free coverage of NFL games by jumping to key moments and scoring opportunities across the league every Sunday.
-
B.
NFL Live
NFL Live is an ESPN television program that provides news, analysis, and discussion about the National Football League.
-
C.
NFL Replay
NFL Replay is a television program on NFL Network that re-broadcasts recent NFL games in an edited, condensed format with added commentary and analysis.
-
D.
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.
-
E.
NFL GameDay Final
NFL GameDay Final is a postgame highlight and analysis show that recaps each week’s NFL action on NFL Network.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5d209881908754eb07a47e478a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.