Triple

T6227712
Position Surface form Disambiguated ID Type / Status
Subject Marcelo Zarvos E139275 entity
Predicate collaboratedWith P435 FINISHED
Object Mimi Leder E450461 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: Mimi Leder | Statement: [Marcelo Zarvos, collaboratedWith, Mimi Leder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimi Leder
Context triple: [Marcelo Zarvos, collaboratedWith, Mimi Leder]
  • A. Mimi Leder chosen
    Mimi Leder is an American film and television director and producer known for her work on impactful dramas such as "Deep Impact," "The Leftovers," and "On the Basis of Sex."
  • B. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • C. Michelle Trachtenberg
    Michelle Trachtenberg is an American actress best known for her role as Dawn Summers on the television series "Buffy the Vampire Slayer."
  • D. Ellen Mirojnick
    Ellen Mirojnick is an American costume designer known for her influential work on films such as "Basic Instinct" and numerous other high-profile productions.
  • E. Eleanor Zellman
    Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d686b88190a0e7e38ab52e2d4a completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eec399f8819096e1db3ff6abd280 completed March 27, 2026, 8:55 p.m.
Created at: March 22, 2026, 4:22 p.m.