Triple
T28540922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday NFL Countdown |
E722287
|
entity |
| Predicate | hasNotableFormerHost |
P46400
|
FINISHED |
| Object | Chris Berman |
—
|
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: Chris Berman | Statement: [Sunday NFL Countdown, hasNotableFormerHost, Chris Berman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFormerHost Context triple: [Sunday NFL Countdown, hasNotableFormerHost, Chris Berman]
-
A.
hasFormerHost
chosen
Indicates that an entity previously served as the host of another entity but no longer holds that hosting role.
-
B.
hasNotableFormerMemberRole
Indicates that an entity has a role or position that was notably held by a former member of that entity.
-
C.
hasBeenHostOf
Indicates that an entity has previously served in the role of host for another entity, such as an event, show, or program.
-
D.
formerCoHostOf
Indicates that one entity previously served as a co-host together with another entity, but no longer holds that co-hosting role.
-
E.
notableYearForHost
Indicates the specific year in which a particular host is notably associated with an event, role, or activity.
- F. None of above.
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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
Created at: April 28, 2026, 3:35 a.m.