Triple

T2014704
Position Surface form Disambiguated ID Type / Status
Subject The Fifth Estate E43767 entity
Predicate editor P1954 FINISHED
Object Virginia Katz E199467 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: Virginia Katz | Statement: [The Fifth Estate, editor, Virginia Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Katz
Context triple: [The Fifth Estate, editor, Virginia Katz]
  • A. Virginia Katz chosen
    Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
  • B. Gail Katz
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • C. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • D. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • E. Liz Sherman
    Liz Sherman is a powerful pyrokinetic human and key member of the Bureau for Paranormal Research and Defense in the Hellboy comic and film series.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b636e19cb081909b2e7866a8bb3338 completed March 15, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:37 p.m.