Triple

T11426196
Position Surface form Disambiguated ID Type / Status
Subject Lisa Whelchel E270755 entity
Predicate name P16 FINISHED
Object Lisa Whelchel E270755 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 Whelchel | Statement: [Lisa Whelchel, name, Lisa Whelchel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Whelchel
Context triple: [Lisa Whelchel, name, Lisa Whelchel]
  • A. Lisa Whelchel chosen
    Lisa Whelchel is an American actress best known for playing Blair Warner on the classic television sitcom "The Facts of Life."
  • B. Lori McCreary
    Lori McCreary is an American film and television producer, co-founder of Revelations Entertainment, and longtime producing partner of actor Morgan Freeman.
  • C. Laura Hunt
    Laura Hunt is the enigmatic advertising executive at the center of the classic 1944 film noir "Laura," whose apparent murder and idealized image drive the film’s mystery and romantic obsession.
  • D. Alyson Fouse
    Alyson Fouse is an American television and film writer known for her work on comedy projects including the parody film "Scary Movie 2."
  • E. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684e29a6c8190910b1c6f717d6c5e completed April 20, 2026, 7:56 p.m.
Created at: April 8, 2026, 9:35 p.m.