Triple
T5317400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Winter Guest (1997 film) |
E121583
|
entity |
| Predicate | featuresOnScreenRelationship |
P35556
|
FINISHED |
| Object | mother–daughter relationship |
—
|
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: mother–daughter relationship | Statement: [The Winter Guest (1997 film), featuresOnScreenRelationship, mother–daughter relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOnScreenRelationship Context triple: [The Winter Guest (1997 film), featuresOnScreenRelationship, mother–daughter relationship]
-
A.
featuresOnscreenPairing
chosen
Indicates that two entities appear together as an on-screen pairing within the same visual or filmed context.
-
B.
displaysFeature
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
C.
featureLinked
Indicates that one feature is associated or connected to another feature in a meaningful or dependent way.
-
D.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
E.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.