Triple

T7417811
Position Surface form Disambiguated ID Type / Status
Subject Part of Me E171172 entity
Predicate producer P490 FINISHED
Object Jane Lipsitz E631806 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: Jane Lipsitz | Statement: [Part of Me, producer, Jane Lipsitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Lipsitz
Context triple: [Part of Me, producer, Jane Lipsitz]
  • A. Jane Lipsitz chosen
    Jane Lipsitz is an American television and film producer best known as the co-founder of Magical Elves, the production company behind hit reality series such as "Top Chef" and "Project Runway."
  • B. Judy Levitt
    Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
  • C. Susan Littenberg
    Susan Littenberg is a film editor known for her work on feature films such as the teen comedy "Easy A."
  • D. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • E. June Preisser
    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.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c9314c8190855b79a2e6ef3e9b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4e3181481909eec1a09ae295923 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:11 p.m.