Triple

T3066369
Position Surface form Disambiguated ID Type / Status
Subject Tea with Mussolini E62112 entity
Predicate screenwriter P2831 FINISHED
Object Franco Zeffirelli E251656 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: Franco Zeffirelli | Statement: [Tea with Mussolini, screenwriter, Franco Zeffirelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franco Zeffirelli
Context triple: [Tea with Mussolini, screenwriter, Franco Zeffirelli]
  • A. Franco Zeffirelli chosen
    Franco Zeffirelli was an Italian director and producer renowned for his lavish film and opera adaptations of classic works, including Shakespearean dramas and grand operatic productions.
  • B. Hugh Hudson
    Hugh Hudson was a British film director best known for his Academy Award–winning 1981 sports drama "Chariots of Fire."
  • C. Roger Michell
    Roger Michell was a British film and theatre director best known for his acclaimed romantic comedies and character-driven dramas, including the hit film "Notting Hill."
  • D. Tim Zinnemann
    Tim Zinnemann is an American film producer and assistant director, known for his work on movies such as "The Running Man" and "Clear and Present Danger."
  • E. Fred Zinnemann
    Fred Zinnemann was an Austrian-American film director renowned for classic Hollywood dramas such as "High Noon," "From Here to Eternity," and "A Man for All Seasons."
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.