Triple
T13789506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilda Live |
E331355
|
entity |
| Predicate | partOfPerformerCareer |
P59782
|
FINISHED |
| Object | Gilda Radner filmography |
—
|
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: Gilda Radner filmography | Statement: [Gilda Live, partOfPerformerCareer, Gilda Radner filmography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfPerformerCareer Context triple: [Gilda Live, partOfPerformerCareer, Gilda Radner filmography]
-
A.
partOfCreativeCareerOf
chosen
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
B.
performedAsSingerIn
Indicates that an entity took part in a performance specifically in the role of a singer within a particular event, production, or context.
-
C.
isInGenreOfArtistCareer
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
-
D.
timeInArtistCareer
Indicates the point or period within an artist’s professional career at which a given event, work, or activity occurs.
-
E.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.