Triple

T9623297
Position Surface form Disambiguated ID Type / Status
Subject Emily Hughes E232396 entity
Predicate mother P120 FINISHED
Object Amy Pastarnack E235132 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 Pastarnack | Statement: [Emily Hughes, mother, Amy Pastarnack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Pastarnack
Context triple: [Emily Hughes, mother, Amy Pastarnack]
  • A. Amy Pastarnack Hughes chosen
    Amy Pastarnack Hughes is best known as the mother of American Olympic figure skating champion Sarah Hughes.
  • B. Amy Stechler
    Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
  • C. Lorrie Baranek
    Lorrie Baranek is a television producer best known for her executive production work on the current affairs series "The Problem with Jon Stewart."
  • D. Lisa Lassek
    Lisa Lassek is an American film and television editor known for her frequent collaborations with Joss Whedon on projects such as major Marvel superhero films and cult TV series.
  • E. Susan Anspach
    Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f7ea448190b9fe123589a9f3c5 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:10 p.m.