Triple
T34309141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Is the Wind |
E880392
|
entity |
| Predicate | leadActorForCharacterGioia |
P184640
|
FINISHED |
| Object | Anna Magnani |
—
|
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: Anna Magnani | Statement: [Wild Is the Wind, leadActorForCharacterGioia, Anna Magnani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacterGioia Context triple: [Wild Is the Wind, leadActorForCharacterGioia, Anna Magnani]
-
A.
leadActorForCharacterGino
Indicates that a person is the primary actor portraying the character named Gino in a production.
-
B.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
C.
leadActorForCharacter Joe Barrett
Indicates that the specified person is the primary actor portraying the character Joe Barrett.
-
D.
leadActorForCharacter David Greene
Indicates that the specified person is the primary actor portraying the character David Greene.
-
E.
leadActorForCharacterGeorge
Indicates that the specified person is the primary actor portraying the character George.
- F. None of above. chosen
Provenance (4 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 1, 2026, 1:57 a.m.