Triple

T35133097
Position Surface form Disambiguated ID Type / Status
Subject Conrad Dalton E1014494 entity
Predicate hasWorkingRelationship P155703 FINISHED
Object Jay Whitman 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: Jay Whitman | Statement: [Conrad Dalton, hasWorkingRelationship, Jay Whitman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkingRelationship
Context triple: [Conrad Dalton, hasWorkingRelationship, Jay Whitman]
  • A. hasFamilyRelationInWork
    Indicates that there exists a family relationship between two entities within the context of a specific work (e.g., book, film, or other creative work).
  • B. hasProfessionalRelationshipWith chosen
    Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
  • C. hasRelationshipToWork
    Indicates a relationship where an entity has a specific connection, role, or association with a particular work or piece of work.
  • D. worksInCloseRelationshipWith
    Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
  • E. haveRelationshipWith
    Indicates that one entity is in some form of defined relationship or association with 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_69f76dd9c1848190af70d4882a2c1ad7 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe629b4fa481908467c7c41b77f0c6 completed May 8, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69fe61bb260c819083f9378a3a06ca47 completed May 8, 2026, 10:20 p.m.
Created at: May 3, 2026, 4:02 p.m.