Triple

T4035225
Position Surface form Disambiguated ID Type / Status
Subject Ex Machina E83811 entity
Predicate productionCompany P490 FINISHED
Object DNA Films E258397 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: DNA Films | Statement: [Ex Machina, productionCompany, DNA Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNA Films
Context triple: [Ex Machina, productionCompany, DNA Films]
  • A. DNA Films chosen
    DNA Films is a British film production company known for producing notable movies such as "28 Days Later" and other critically acclaimed features.
  • B. DNA
    DNA (deoxyribonucleic acid) is the hereditary molecule in almost all living organisms, encoding genetic instructions that guide development, function, and reproduction.
  • C. DNA
    DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
  • D. DNAA
    DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
  • E. Celluloid
    Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556415ebc8190a528c7e22dbf70df completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.