Triple

T13517812
Position Surface form Disambiguated ID Type / Status
Subject George Faber E322811 entity
Predicate notableWork P4 FINISHED
Object Longford E69127 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: Longford | Statement: [George Faber, notableWork, Longford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longford
Context triple: [George Faber, notableWork, Longford]
  • A. Longford chosen
    Longford is a 2006 British television drama film directed by Tom Hooper that portrays the controversial relationship between Lord Longford and Moors murderer Myra Hindley.
  • B. Longford
    Longford is a small village in the London Borough of Hillingdon, England, situated just north of Heathrow Airport and known for its proximity to the airport’s perimeter.
  • C. Longford
    Longford is the county town and administrative centre of County Longford in Ireland.
  • D. Longford
    Longford is an Irish-origin surname borne by various notable individuals, including figures in politics, the arts, and public life.
  • E. Roscommon
    Roscommon is a county town in central County Roscommon, Ireland, known for its historical sites and role as an administrative and commercial center in the region.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c1ee7048190b2571364b25bd49d completed May 8, 2026, 2:36 a.m.
Created at: April 9, 2026, 9:44 p.m.