Triple

T14455972
Position Surface form Disambiguated ID Type / Status
Subject Dirty Pretty Things (2002 film) E358459 entity
Predicate character P662 FINISHED
Object Senay Gelik E866502 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: Senay Gelik | Statement: [Dirty Pretty Things (2002 film), character, Senay Gelik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senay Gelik
Context triple: [Dirty Pretty Things (2002 film), character, Senay Gelik]
  • A. Senay Gelik chosen
    Senay Gelik is a young Turkish immigrant working illegally in London who becomes entangled in the city’s underworld in the film "Dirty Pretty Things."
  • B. Emine Bozkurt
    Emine Bozkurt is a Dutch politician of Turkish descent who served as a Member of the European Parliament for the Labour Party (PvdA).
  • C. Oya Baydar
    Oya Baydar is a prominent Turkish novelist, sociologist, and political activist known for her socially engaged fiction and critical commentary on Turkey’s political landscape.
  • D. Gonca Dündar
    Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
  • E. Hülya Koçyiğit
    Hülya Koçyiğit is a renowned Turkish film and television actress, celebrated as one of the leading stars of Yeşilçam-era cinema.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649177108190be32af72dcae04ee completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.