Triple

T10938551
Position Surface form Disambiguated ID Type / Status
Subject Frank E258400 entity
Predicate productionCompanyOfWork P25234 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: [Frank, productionCompanyOfWork, DNA Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNA Films
Context triple: [Frank, productionCompanyOfWork, 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 the unicameral legislative body and main law-making institution of the Republic of Suriname.
  • D. DNA
    DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
  • E. DNAA
    DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770b12a9881909305db49aa554a1b completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bfd6a108190a0557598f68659fa completed April 17, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:23 p.m.