Triple

T9394044
Position Surface form Disambiguated ID Type / Status
Subject EMI Films E226097 entity
Predicate notableWork P4 FINISHED
Object Sweeney 2 E518300 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: Sweeney 2 | Statement: [EMI Films, notableWork, Sweeney 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweeney 2
Context triple: [EMI Films, notableWork, Sweeney 2]
  • A. Sweeney
    Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
  • B. The Sweeney chosen
    The Sweeney is a 1970s British television crime drama series following the tough, unorthodox methods of London’s Flying Squad police unit.
  • C. The World of Mr. Sweeney
    The World of Mr. Sweeney is an American television sitcom best known for featuring actor Tom Bosley in one of his early starring roles.
  • D. Seventy Two and Sunny
    "Seventy Two and Sunny" is a studio album by American singer-songwriter Uncle Kracker, blending country, rock, and pop influences.
  • E. York and Sawyer
    York and Sawyer was an American architectural firm known for its Beaux-Arts and neoclassical designs, particularly prominent bank and institutional buildings in the early 20th century.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd511150008190be04142e477e8bf1 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1010ffcd4819088edafbdb43c2c00 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.