Triple

T11222440
Position Surface form Disambiguated ID Type / Status
Subject June Preisser E265603 entity
Predicate name P16 FINISHED
Object June Preisser E265603 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: June Preisser | Statement: [June Preisser, name, June Preisser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Preisser
Context triple: [June Preisser, name, June Preisser]
  • A. June Preisser chosen
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • B. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • C. Ilene Rosenzweig
    Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
  • D. 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.
  • E. Linda Gottlieb
    Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ec8fb08190b27144ab65f85957 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef127eaf588190aaca151ee4022f3c completed April 27, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:30 p.m.