Triple

T16775397
Position Surface form Disambiguated ID Type / Status
Subject Paul Hennessy E407707 entity
Predicate spouse P13 FINISHED
Object Cate Hennessy E715084 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: Cate Hennessy | Statement: [Paul Hennessy, spouse, Cate Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cate Hennessy
Context triple: [Paul Hennessy, spouse, Cate Hennessy]
  • A. Cate Hennessy chosen
    Cate Hennessy is a central character on the sitcom "8 Simple Rules," portrayed as a strong-willed mother navigating family life after the death of her husband.
  • B. Cate Connor
    Cate Connor is a central figure in "The Darkest Minds," known for her pivotal role in guiding and influencing the story’s young protagonists within its dystopian world.
  • C. Jennifer Hennessy
    Jennifer Hennessy is a British actress known for her work in television dramas and comedies, including appearances in series such as Doctor Who and The Office.
  • D. Alannah Henriksen
    Alannah Henriksen is the daughter of American actor Lance Henriksen, known for his roles in science fiction and horror films.
  • E. Amber Scott
    Amber Scott is a prominent Australian ballerina renowned for her long-standing career as a principal artist with The Australian Ballet.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b039a2a88190865e6a42c830c54d completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170dd38708190b17cee0ab6cee6eb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:22 a.m.