Triple

T14397861
Position Surface form Disambiguated ID Type / Status
Subject Zeus and Roxanne E356996 entity
Predicate writer P1360 FINISHED
Object Tom Benedek E80777 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: Tom Benedek | Statement: [Zeus and Roxanne, writer, Tom Benedek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Benedek
Context triple: [Zeus and Roxanne, writer, Tom Benedek]
  • A. Tom Benedek chosen
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • B. Alan J. Pakula
    Alan J. Pakula was an American film director, producer, and screenwriter best known for his politically charged thrillers and character-driven dramas of the 1970s and 1980s.
  • C. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • D. Paul Hirsch
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • E. Paul Hirsch
    Paul Hirsch was a German Social Democratic politician who briefly served as Minister President of Prussia during the early Weimar Republic.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.