Triple

T15330028
Position Surface form Disambiguated ID Type / Status
Subject Anastasia E366508 entity
Predicate screenwriter P2831 FINISHED
Object Bob Tzudiker NE NERFINISHED

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: Bob Tzudiker | Statement: [Anastasia, screenwriter, Bob Tzudiker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Tzudiker
Context triple: [Anastasia, screenwriter, Bob Tzudiker]
  • A. Bob Tzudiker chosen
    Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
  • B. Phil Rubinstein
    Phil Rubinstein is a fictional character portrayed by actor Andrew Robinson, likely appearing in a film or television production.
  • C. Glenn Fleshler
    Glenn Fleshler is an American character actor known for his intense and often menacing roles in film and television, including appearances in projects like "True Detective," "Billions," and "Joker."
  • D. Monte Jay Himmelbaum
    Monte Jay Himmelbaum, better known as Monte Hellman, was an American film director and producer acclaimed for his influential work in independent and cult cinema, particularly in the 1960s and 1970s.
  • E. Thomas Blatt
    Thomas Blatt was a Polish Jewish Holocaust survivor, writer, and speaker best known for his escape from the Sobibor extermination camp and his later efforts to document its history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
Created at: April 10, 2026, 3:17 a.m.