Triple

T13628855
Position Surface form Disambiguated ID Type / Status
Subject Joan Rice E325659 entity
Predicate workedFor P1910 FINISHED
Object Rank Organisation E39732 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: Rank Organisation | Statement: [Joan Rice, workedFor, Rank Organisation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rank Organisation
Context triple: [Joan Rice, workedFor, Rank Organisation]
  • A. Rank Organisation chosen
    Rank Organisation was a major British film production, distribution, and exhibition company that played a central role in the UK cinema industry in the mid-20th century.
  • B. Rank
    Rank is a surname most notably associated with J. Arthur Rank, the influential British industrialist and film producer who founded the Rank Organisation.
  • C. The Rank Organisation
    The Rank Organisation was a major British entertainment conglomerate best known for its film production and distribution during the mid-20th century.
  • D. Order of Merit ranking
    The Order of Merit ranking is a season-long money-based leaderboard used to determine the top-performing players on the Asian Tour.
  • E. Organise
    "Organise" is a popular Afrobeats track by Nigerian singer Asake, known for its catchy rhythm and streetwise, motivational lyrics.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa895f081908f72a0746afeabed completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.