Triple

T6069362
Position Surface form Disambiguated ID Type / Status
Subject Nico Blue Hoon E135239 entity
Predicate hasMother P1909 FINISHED
Object Lisa Crouse E571037 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: Lisa Crouse | Statement: [Nico Blue Hoon, hasMother, Lisa Crouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Crouse
Context triple: [Nico Blue Hoon, hasMother, Lisa Crouse]
  • A. Lisa Crouse chosen
    Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
  • B. Lindsay Crouse
    Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
  • C. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • D. Tamara Tunie
    Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
  • E. Shelley Long
    Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0574157848190bb8e0972eb55a363 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1414ea324819087dc9267938efb5c completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:10 p.m.