Triple
T26556903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juliette Binoche as Pauline de Théus |
E666133
|
entity |
| Predicate | onScreenRelationshipTypeWithAngeloPardi |
P161034
|
FINISHED |
| Object | platonicAttachment |
—
|
LITERAL FINISHED |
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: platonicAttachment | Statement: [Juliette Binoche as Pauline de Théus, onScreenRelationshipTypeWithAngeloPardi, platonicAttachment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onScreenRelationshipTypeWithAngeloPardi Context triple: [Juliette Binoche as Pauline de Théus, onScreenRelationshipTypeWithAngeloPardi, platonicAttachment]
-
A.
relationshipTypeWithSassi
Indicates the specific type or nature of the relationship that an entity has with Sassi.
-
B.
showsRelationshipWith
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
C.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
D.
hasRelationshipTypeWithAngélique
Indicates that one entity has a specific type of relationship or relational status with Angélique.
-
E.
hasRelationshipTypeWithNenaDaconte
Indicates that there exists a specific type of relationship between an entity and Nena Daconte.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6146709fc81909851677f0cd4e2d7 |
completed | May 2, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 1:50 a.m.