Triple

T23056590
Position Surface form Disambiguated ID Type / Status
Subject Dallas Buyers Club E574171 entity
Predicate producer P490 FINISHED
Object Serer Finance NE NERFINISHED

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: Serer Finance | Statement: [Dallas Buyers Club, producer, Serer Finance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serer Finance
Context triple: [Dallas Buyers Club, producer, Serer Finance]
  • A. Serer Finance chosen
    Serer Finance is a film production company best known for its involvement in financing and producing the acclaimed drama "Dallas Buyers Club."
  • B. FinanceScout24 GmbH
    FinanceScout24 GmbH is a German online platform specializing in the comparison and brokerage of financial and insurance products, operating as part of the Scout24 group.
  • C. FinanceScout24
    FinanceScout24 is an online comparison and brokerage platform that helps consumers find and manage financial products such as insurance, loans, and investments.
  • D. Solva
    Solva is a picturesque coastal village in Pembrokeshire, Wales, known for its sheltered harbour, colourful quayside, and popularity with walkers on the Pembrokeshire Coast Path.
  • E. Finance Road
    Finance Road is a street located in New Delhi, India, in the central administrative area near major government buildings and cultural institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1868099708190b23725dc8a305e09 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.