Triple

T2695821
Position Surface form Disambiguated ID Type / Status
Subject Charles Longley E58508 entity
Predicate familyName P18 FINISHED
Object Longley E220449 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: Longley | Statement: [Charles Longley, familyName, Longley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longley
Context triple: [Charles Longley, familyName, Longley]
  • A. Longley chosen
    Longley is a surname most notably associated with Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • B. Hordley
    Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
  • C. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • D. Hurst Green
    Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
  • E. Shenley
    Shenley is a village and civil parish in the county of Hertfordshire in southern England, known for its residential character and proximity to London.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda2f7bf88190a1e3103dd014d871 completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6aa78c8190b57be36042008361 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.