Triple

T23514982
Position Surface form Disambiguated ID Type / Status
Subject Jake Gyllenhaal as Jamie Randall E574333 entity
Predicate onScreenRelationshipWith P112429 FINISHED
Object Anne Hathaway as Maggie Murdock 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: Anne Hathaway as Maggie Murdock | Statement: [Jake Gyllenhaal as Jamie Randall, onScreenRelationshipWith, Anne Hathaway as Maggie Murdock]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onScreenRelationshipWith
Context triple: [Jake Gyllenhaal as Jamie Randall, onScreenRelationshipWith, Anne Hathaway as Maggie Murdock]
  • A. onScreenSibling
    Indicates that two characters are depicted as siblings within an on-screen or fictional context.
  • B. hasOnScreenFamilyMember chosen
    Indicates that one entity appears on screen as a family member of another entity.
  • C. onScreenDynamicWith
    Indicates that two entities are simultaneously visible and interacting or changing together within the same on-screen context.
  • D. showsRelationshipWith
    Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
  • E. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa80d9048190ab735dddd301feb4 completed April 29, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f0621165c08190a0b27b1319733959 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:08 p.m.