Triple

T20744287
Position Surface form Disambiguated ID Type / Status
Subject Pat Keen E510531 entity
Predicate notableWork P4 FINISHED
Object The Sweeney 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: The Sweeney | Statement: [Pat Keen, notableWork, The Sweeney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sweeney
Context triple: [Pat Keen, notableWork, The Sweeney]
  • A. 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.
  • B. Sweeney
    Sweeney is a surname of Irish and Scottish origin borne by various notable individuals in entertainment, sports, and public life.
  • C. Sweeney’s
    Sweeney’s is a settlement in the Northern District of Montserrat in the Caribbean island nation of Montserrat.
  • D. Sweeney's Men
    Sweeney's Men were an influential Irish folk group from the 1960s known for helping pioneer the Irish folk revival with innovative arrangements and instrumentation.
  • E. Mulligan Highway
    Mulligan Highway is a major road in Far North Queensland, Australia, that connects inland regions to the coastal town of Cooktown.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.