Triple
T18226399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Game of the Week |
E436432
|
entity |
| Predicate | narrationBy |
P2181
|
FINISHED |
| Object | Jim Lampley |
—
|
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: Jim Lampley | Statement: [NFL Game of the Week, narrationBy, Jim Lampley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Lampley Context triple: [NFL Game of the Week, narrationBy, Jim Lampley]
-
A.
Jim Lampley
chosen
Jim Lampley is an American sportscaster and television personality best known for his long tenure as a boxing commentator on HBO.
-
B.
Kenny Albert
Kenny Albert is an American sportscaster known for his play-by-play work across major sports leagues, including the NFL, NHL, MLB, and NBA.
-
C.
Marv Albert
Marv Albert is a renowned American sportscaster best known as the longtime voice of NBA basketball and a prominent play-by-play announcer across multiple major sports.
-
D.
Chris Berman
Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
-
E.
Kevin Burns
Kevin Burns was an American television producer and documentarian best known for creating and producing numerous history- and science-themed series, including "Ancient Aliens" and various programs for the History Channel.
- 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_69e4f4aff8748190be5e732f9dbc8dff |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.