Triple
T8997318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Radio |
E214948
|
entity |
| Predicate | hasCoHostRole |
P85565
|
FINISHED |
| Object | Michael Goudeau as comedic sidekick |
—
|
LITERAL 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: Michael Goudeau as comedic sidekick | Statement: [Penn Radio, hasCoHostRole, Michael Goudeau as comedic sidekick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoHostRole Context triple: [Penn Radio, hasCoHostRole, Michael Goudeau as comedic sidekick]
-
A.
originalCoHost
Indicates that an entity served as an initial or first co-host alongside another entity in a shared hosting role.
-
B.
hasCoRepresentativeRole
Indicates that an entity shares or holds a co-representative role or position alongside another entity within the same representational context.
-
C.
hasStageRole
Indicates that an entity performs or holds a specific role or character in a staged performance or theatrical production.
-
D.
liveActionCoHost
chosen
Indicates that two or more entities jointly host a live-action event, show, or production together.
-
E.
hasBroadcaster
Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting organization.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e0d3588190bdab0e2b86b09228 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.