Triple
T32910292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marilyn Munster |
E841854
|
entity |
| Predicate | laterPortrayedBy |
P200883
|
FINISHED |
| Object | Pat Priest |
—
|
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: Pat Priest | Statement: [Marilyn Munster, laterPortrayedBy, Pat Priest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterPortrayedBy Context triple: [Marilyn Munster, laterPortrayedBy, Pat Priest]
-
A.
laterPortrayedAs
Indicates that an entity is subsequently depicted or represented as another character, role, or form in a later work or context.
-
B.
portrayedBySince
Indicates that an entity has been portrayed by a particular actor or performer starting from a specified point in time and continuing thereafter.
-
C.
previouslyPortrayedBy
Indicates that the subject entity was portrayed in the past by the specified actor or performer.
-
D.
alsoPortrayedBy
Indicates that the same role or character is portrayed by an additional, different performer or actor.
-
E.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
- F. None of above. chosen
Provenance (4 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
| PDg | Predicate description generation | batch_69ffb6976f84819098a9b14946591baa |
completed | May 9, 2026, 10:35 p.m. |
Created at: May 1, 2026, 1:19 a.m.