Triple
T32362394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymonda, Op. 57 |
E826898
|
entity |
| Predicate | principalMaleRole |
P173056
|
FINISHED |
| Object | Jean de Brienne |
—
|
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: Jean de Brienne | Statement: [Raymonda, Op. 57, principalMaleRole, Jean de Brienne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalMaleRole Context triple: [Raymonda, Op. 57, principalMaleRole, Jean de Brienne]
-
A.
originalMaleLeadRole
Indicates that an entity was the first male actor to play a particular leading role in a work or production.
-
B.
leadMaleRoleType
chosen
Indicates that an entity holds the primary or leading male role type within a given context or production.
-
C.
principalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, activity, or relationship.
-
D.
maleLeadActor
Indicates that the subject is the primary male actor in a performance or production.
-
E.
primaryActor
Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:49 a.m.