Triple

T9854552
Position Surface form Disambiguated ID Type / Status
Subject Short Cuts E239550 entity
Predicate starring P1507 FINISHED
Object Lili Tomlin E263030 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: Lili Tomlin | Statement: [Short Cuts, starring, Lili Tomlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lili Tomlin
Context triple: [Short Cuts, starring, Lili Tomlin]
  • A. Lily Tomlin chosen
    Lily Tomlin is an acclaimed American actress, comedian, and writer known for her groundbreaking character work in television, film, and stand-up comedy.
  • B. Bonnie Hunt
    Bonnie Hunt is an American actress, comedian, writer, director, and television host known for her roles in films like "Jumanji," "Jerry Maguire," and "Cheaper by the Dozen," as well as for voicing characters in multiple Pixar animated movies.
  • C. Conchata Ferrell
    Conchata Ferrell was an American character actress best known for her role as the sharp-tongued housekeeper Berta on the television sitcom "Two and a Half Men."
  • D. Carol Burnett
    Carol Burnett is an iconic American comedian, actress, and singer best known for her groundbreaking sketch comedy series "The Carol Burnett Show."
  • E. Mary Steenburgen
    Mary Steenburgen is an American actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Melvin and Howard," "Back to the Future Part III," and numerous character-driven dramas and comedies.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4349a50819084ee1fcd067a082b completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:34 p.m.