Triple
T25831497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gracie Allen Murder Case |
E650675
|
entity |
| Predicate | hasLeadPerformerProfession |
P146982
|
FINISHED |
| Object | comedian |
—
|
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: comedian | Statement: [The Gracie Allen Murder Case, hasLeadPerformerProfession, comedian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadPerformerProfession Context triple: [The Gracie Allen Murder Case, hasLeadPerformerProfession, comedian]
-
A.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
B.
starredPerformerOccupation
chosen
Indicates the occupation or professional role of a performer who starred in a work or production.
-
C.
hasPerformerCredit
Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
-
D.
hasMusicalArtistOccupation
Indicates that an entity has an occupation or professional role as a musical artist.
-
E.
performerOn
Indicates that an entity serves as the performer or executing agent of an action, event, or work associated with another entity.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 22, 2026, 7:38 a.m.