Triple

T14558888
Position Surface form Disambiguated ID Type / Status
Subject Maid in Manhattan E341616 entity
Predicate starring P1507 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: [Maid in Manhattan, starring, Amy Sedaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Sedaris
Context triple: [Maid in Manhattan, starring, 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. Paul Sedaris
    Paul Sedaris is a member of the Sedaris family, known primarily as the brother of humorist and author David Sedaris.
  • D. Gretchen Sedaris
    Gretchen Sedaris is an American artist and painter best known as the younger sister of humorist and author David Sedaris.
  • E. Jen Silverman
    Jen Silverman is an American playwright, novelist, and screenwriter known for darkly comic, genre-blurring works that explore identity, queerness, and the uncanny.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac003b08190923d469b3422cdab completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.