Triple
T38570272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manifesto |
E929246
|
entity |
| Predicate | starsInMultipleRoles |
P32517
|
FINISHED |
| Object | Cate Blanchett |
—
|
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: Cate Blanchett | Statement: [Manifesto, starsInMultipleRoles, Cate Blanchett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsInMultipleRoles Context triple: [Manifesto, starsInMultipleRoles, Cate Blanchett]
-
A.
featuresActorInMultipleRoles
chosen
Indicates that a work includes an actor who portrays more than one distinct role within that same work.
-
B.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
C.
playedInEnsembleWith
Indicates that one entity has performed together with another as members of the same musical ensemble or group.
-
D.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
E.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.