Triple

T7827108
Position Surface form Disambiguated ID Type / Status
Subject David Sedaris E181274 entity
Predicate sibling P363 FINISHED
Object Amy Sedaris E385699 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: Amy Sedaris | Statement: [David Sedaris, sibling, Amy Sedaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Sedaris
Context triple: [David Sedaris, sibling, Amy Sedaris]
  • A. Amy Sedaris chosen
    Amy Sedaris is an American actress, comedian, and writer best known for her offbeat comedic roles in television series like "Strangers with Candy" and her voice work in numerous animated films.
  • B. David Sedaris
    David Sedaris is an American humorist, essayist, and bestselling author known for his autobiographical, sharply observant, and darkly comic writings.
  • C. Sarah Silverman
    Sarah Silverman is an American stand-up comedian, actress, and writer known for her sharp, provocative humor and appearances in film and television.
  • D. Jenni Konner
    Jenni Konner is an American television writer, producer, and director best known for co-creating and showrunning the HBO series "Girls" alongside Lena Dunham.
  • E. Sandra Bernhard
    Sandra Bernhard is an American comedian, actress, singer, and author known for her sharp, satirical stand-up and distinctive roles in film and television.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04a7f3b8819080f8a8283d6118fb completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55eedb9881908aeb6d3276b31b6c completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:43 p.m.