Triple
T13333860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Live |
E317638
|
entity |
| Predicate | hasAnalyst |
P8698
|
FINISHED |
| Object | Tim Hasselbeck |
E731128
|
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: Tim Hasselbeck | Statement: [NFL Live, hasAnalyst, Tim Hasselbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Hasselbeck Context triple: [NFL Live, hasAnalyst, Tim Hasselbeck]
-
A.
Tim Hasselbeck
chosen
Tim Hasselbeck is a former NFL quarterback who later became a football analyst and commentator for ESPN.
-
B.
Sarah Hasselbeck
Sarah Hasselbeck is known as the wife of former NFL quarterback and sports analyst Matt Hasselbeck.
-
C.
Matt Hasselbeck
Matt Hasselbeck is a former NFL quarterback best known for leading the Seattle Seahawks to multiple playoff appearances and a Super Bowl berth in the 2000s.
-
D.
Don Hasselbeck
Don Hasselbeck is a former American football tight end who played in the NFL, notably for the New England Patriots, during the late 1970s and early 1980s.
-
E.
Brian Griese
Brian Griese is a former American NFL quarterback who played primarily for the Denver Broncos and later became a football analyst and coach.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266f70088190a518e273af507361 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:30 p.m.