Triple

T3528386
Position Surface form Disambiguated ID Type / Status
Subject Peter Morgan E74595 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: [Peter Morgan, notableWork, Longford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longford
Context triple: [Peter Morgan, 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. 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.
  • D. Monaghan
    Monaghan is a county in the Republic of Ireland known for its drumlin landscapes, lakes, and location along the border with Northern Ireland.
  • E. Edgeworthstown
    Edgeworthstown is a small town in County Longford, Ireland, historically associated with the Anglo-Irish Edgeworth family and writer Maria Edgeworth.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e93c1988190a9ab7698bf63e8e6 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.