Triple

T13700404
Position Surface form Disambiguated ID Type / Status
Subject Mine vaganti E328500 entity
Predicate director P255 FINISHED
Object Ferzan Özpetek E1044853 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: Ferzan Özpetek | Statement: [Mine vaganti, director, Ferzan Özpetek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferzan Özpetek
Context triple: [Mine vaganti, director, Ferzan Özpetek]
  • A. Ferzan Özpetek chosen
    Ferzan Özpetek is a Turkish-Italian film director and screenwriter known for his emotionally rich, character-driven dramas that often explore themes of identity, family, and sexuality.
  • B. Fatih Akin
    Fatih Akin is a German film director, screenwriter, and producer of Turkish descent, acclaimed for works such as "Head-On" and "The Edge of Heaven."
  • C. Nuri Bilge Ceylan
    Nuri Bilge Ceylan is a Turkish filmmaker renowned for his slow-paced, visually meticulous, and introspective dramas exploring existential themes and complex human relationships.
  • D. Mohammad Rasoulof
    Mohammad Rasoulof is an acclaimed Iranian filmmaker known for his politically charged, socially critical dramas that challenge censorship and authoritarianism.
  • E. Amos Labaki
    Amos Labaki is a cinematographer best known for his work on the 1995 horror film "The Mangler," adapted from a Stephen King short story.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.