Triple

T3040525
Position Surface form Disambiguated ID Type / Status
Subject Julia Sweeney E83115 entity
Predicate name P16 FINISHED
Object Julia Sweeney E83115 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: Julia Sweeney | Statement: [Julia Sweeney, name, Julia Sweeney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Sweeney
Context triple: [Julia Sweeney, name, Julia Sweeney]
  • A. Julia Sweeney chosen
    Julia Sweeney is an American actress, comedian, and writer best known for her work on "Saturday Night Live" and in various film and voice-acting roles.
  • B. Susan Forristal
    Susan Forristal is an American writer and former actress known for her work in film and television and for her past marriage to "Saturday Night Live" creator Lorne Michaels.
  • C. Frances Conroy
    Frances Conroy is an American actress known for her work in film, television, and theater, including prominent roles in "Six Feet Under" and "American Horror Story."
  • D. Cathy Moriarty
    Cathy Moriarty is an American actress best known for her Oscar-nominated performance as Vickie LaMotta in Martin Scorsese’s film "Raging Bull."
  • E. Christine Baranski
    Christine Baranski is an American actress known for her sharp-witted, sophisticated roles in film, television, and theater, including acclaimed performances in works like "The Good Wife," "Mamma Mia!," and numerous stage productions.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b59fea8819091796e30812df9c5 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded01a1481908be7d44c2bf4e638 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.