Triple
T33854585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn Award for Best Actress nomination for Natalie Portman |
E867735
|
entity |
| Predicate | nominatedForRole |
P167103
|
FINISHED |
| Object | Lena |
—
|
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: Lena | Statement: [Saturn Award for Best Actress nomination for Natalie Portman, nominatedForRole, Lena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominatedForRole Context triple: [Saturn Award for Best Actress nomination for Natalie Portman, nominatedForRole, Lena]
-
A.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
B.
hasNomineeRole
Indicates that an entity serves in or holds a specific nominee role or position in relation to another entity.
-
C.
nominatedPersonOccupation
Indicates that the nominated person holds or is associated with a particular occupation or professional role.
-
D.
nomineeOf
Indicates that one entity is a candidate put forward or selected for an award, position, or recognition by another entity.
-
E.
nominatedCharacterType
chosen
Indicates that an entity has been nominated for a role, award, or recognition specifically in the capacity of a particular character type.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70076bdec8190a109af85bed04c90 |
completed | May 3, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.