Triple

T7996920
Position Surface form Disambiguated ID Type / Status
Subject Anderson E186148 entity
Predicate hasNotableBearer P458 FINISHED
Object Loni Anderson E331729 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: Loni Anderson | Statement: [Anderson, hasNotableBearer, Loni Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loni Anderson
Context triple: [Anderson, hasNotableBearer, Loni Anderson]
  • A. Loni Anderson chosen
    Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
  • B. Sandi Patty
    Sandi Patty is an acclaimed American Christian music singer known for her powerful soprano voice and numerous Dove Awards.
  • C. Martie Allen
    Martie Allen is an American woman best known as the long-term partner of former child star and Emmy-winning actress Kristy McNichol.
  • D. Jeannie Seely
    Jeannie Seely is an American country music singer and Grand Ole Opry member known for her 1966 hit "Don't Touch Me" and her long, influential career in Nashville.
  • E. Barbara West
    Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c97968481908d261b3f0bd6b8e6 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe10d5eb081909f257390094de442 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.