Triple

T5214476
Position Surface form Disambiguated ID Type / Status
Subject Drake Doremus E117714 entity
Predicate wrote P2831 FINISHED
Object Newness E503718 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: Newness | Statement: [Drake Doremus, wrote, Newness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newness
Context triple: [Drake Doremus, wrote, Newness]
  • A. Newness chosen
    Newness is a 2017 romantic drama film directed by Drake Doremus that explores the complexities of modern app-based relationships in Los Angeles.
  • B. NEW
    NEW is the standard three-letter abbreviation used to represent Newcastle Jets FC, a professional football club based in Newcastle, Australia.
  • C. New Design
    "New Design" is a song featured on the 1970 Kenny Rogers & The First Edition album *Tell It All Brother*.
  • D. One New Change
    One New Change is a major modern retail and office complex in the City of London, known for its shopping centre and rooftop terrace with views of St Paul’s Cathedral.
  • E. Old and New
    Old and New is the alternate title of Sergei Eisenstein’s 1929 Soviet silent film "The General Line," which depicts the collectivization of agriculture in a Russian village.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a928dfc8190971a9e28d5c10446 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe5aabbc8190bc09eaffb5ec9776 completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:47 p.m.