Triple

T37159876
Position Surface form Disambiguated ID Type / Status
Subject Jane Sterling E920617 entity
Predicate hasRelationshipTypeWithRogerSterling P205766 FINISHED
Object secretary-turned-wife 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: secretary-turned-wife | Statement: [Jane Sterling, hasRelationshipTypeWithRogerSterling, secretary-turned-wife]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelationshipTypeWithRogerSterling
Context triple: [Jane Sterling, hasRelationshipTypeWithRogerSterling, secretary-turned-wife]
  • A. hasRelationshipTypeWith Frank Drebin
    Indicates that there exists a specific type of relationship between an entity and Frank Drebin.
  • B. hasRelationshipTypeWith Jim Rockford
    Indicates that an entity is connected to Jim Rockford by a specific type of relationship (such as familial, professional, or social).
  • C. hasRelationshipTypeWithRoryGilmore
    Indicates that an entity has a specific type of interpersonal relationship or connection with Rory Gilmore.
  • D. hasRelationshipTypeWith Owen Hunt
    Indicates that there exists a specific type of interpersonal or relational connection between an entity and Owen Hunt.
  • E. hasRelationshipTypeWith Anastasia Steele
    Indicates that an entity has a specific type of relationship or relational role with Anastasia Steele.
  • 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_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c842b2c819082f1d2db995ac2eb completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:15 p.m.