Triple
T30613805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animals (2019 film) |
E779258
|
entity |
| Predicate | leadActorForCharacter Laura |
P166850
|
FINISHED |
| Object | Holliday Grainger |
—
|
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: Holliday Grainger | Statement: [Animals (2019 film), leadActorForCharacter Laura, Holliday Grainger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter Laura Context triple: [Animals (2019 film), leadActorForCharacter Laura, Holliday Grainger]
-
A.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
-
B.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
-
C.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
D.
leadActorForCharacterLance
Indicates that the referenced person is the primary actor who portrays the character named Lance.
-
E.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 8:26 p.m.