Triple

T15975901
Position Surface form Disambiguated ID Type / Status
Subject Bill Henrickson E387443 entity
Predicate spouse P13 FINISHED
Object Barb Henrickson E387074 NE 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: Barb Henrickson | Statement: [Bill Henrickson, spouse, Barb Henrickson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barb Henrickson
Context triple: [Bill Henrickson, spouse, Barb Henrickson]
  • A. Barb Henrickson chosen
    Barb Henrickson is a central character in the television drama "Big Love," portrayed as the first wife in a modern fundamentalist Mormon polygamist family struggling to balance faith, family, and personal identity.
  • B. Joyce Emrick
    Joyce Emrick is the wife of renowned American sportscaster Mike "Doc" Emrick and is known primarily for her long-standing support of his broadcasting career.
  • C. Rhonda Tollefson
    Rhonda Tollefson is a film producer best known for her work on the heist thriller "Entrapment."
  • D. Julie Hickson
    Julie Hickson is a film producer best known for her work on Tim Burton’s early short film "Frankenweenie" (1984).
  • E. Barb Hanlon
    Barb Hanlon is a fictional character portrayed by Felicity Huffman, known as a complex, emotionally driven woman navigating personal and family challenges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575166d081909c5275c235c8ce0f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.