Triple
T33872605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seth Rogen as Ken Miller |
E868257
|
entity |
| Predicate | portrayalDebutRoleForActor |
P124816
|
FINISHED |
| Object | Seth Rogen |
—
|
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: Seth Rogen | Statement: [Seth Rogen as Ken Miller, portrayalDebutRoleForActor, Seth Rogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalDebutRoleForActor Context triple: [Seth Rogen as Ken Miller, portrayalDebutRoleForActor, Seth Rogen]
-
A.
filmDebutActorForCharacter
chosen
Indicates that an actor is making their first film appearance in the role of a specific character.
-
B.
stageDebutRole
Indicates the role in which an entity first appeared in a stage performance or theatrical debut.
-
C.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
D.
theaterDebutWith
Indicates that an entity made its first appearance or performance in a theater production together with another specified entity.
-
E.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: May 1, 2026, 1:47 a.m.