Triple

T25019675
Position Surface form Disambiguated ID Type / Status
Subject The Fat Guy Strangler E626536 entity
Predicate familyConnectionType P39277 FINISHED
Object brother-in-law of Peter Griffin 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: brother-in-law of Peter Griffin | Statement: [The Fat Guy Strangler, familyConnectionType, brother-in-law of Peter Griffin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyConnectionType
Context triple: [The Fat Guy Strangler, familyConnectionType, brother-in-law of Peter Griffin]
  • A. familyConnectionTo
    Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
  • B. familyOf
    Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
  • C. familyType chosen
    Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
  • D. familyRelationNote
    Indicates a descriptive note or annotation that provides additional context or clarification about a specified family relationship between entities.
  • E. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • 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_69e2ff28ee3881909c626af002457a4a completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 18, 2026, 6:06 a.m.