Triple

T5553772
Position Surface form Disambiguated ID Type / Status
Subject Suzie Chapstick E145587 entity
Predicate alsoKnownAs P39 FINISHED
Object Suzy Chapstick E145587 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: Suzy Chapstick | Statement: [Suzie Chapstick, alsoKnownAs, Suzy Chapstick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzy Chapstick
Context triple: [Suzie Chapstick, alsoKnownAs, Suzy Chapstick]
  • A. Suzie Chapstick chosen
    Suzie Chapstick is the advertising nickname of Suzy Chaffee, a former Olympic skier and popular 1970s TV commercial personality known for promoting ChapStick lip balm.
  • B. Anna Culp
    Anna Culp is a television producer best known for her executive production work on the biographical anthology series "Genius."
  • C. Swoosie Kurtz
    Swoosie Kurtz is an American actress known for her work on stage, film, and television, including acclaimed performances in "Sisters," "Pushing Daisies," and numerous Broadway productions.
  • D. Courtney Gains
    Courtney Gains is an American character actor known for his offbeat and often unsettling roles in films such as "Children of the Corn," "Can't Buy Me Love," and numerous 1980s cult classics.
  • E. Molly Messick
    Molly Messick is an American audio producer and journalist known for her work in public radio and podcasting.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:36 p.m.