Triple

T14928613
Position Surface form Disambiguated ID Type / Status
Subject William M. Corry Jr. E372198 entity
Predicate familyName P18 FINISHED
Object Corry E990172 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: Corry | Statement: [William M. Corry Jr., familyName, Corry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corry
Context triple: [William M. Corry Jr., familyName, Corry]
  • A. Corry chosen
    Corry is a given name and surname used in various English-speaking regions, often as a variant of names like Corrie or Corey.
  • B. Pottsville
    Pottsville is a small coastal town in northern New South Wales, Australia, known for its beaches and relaxed residential atmosphere.
  • C. Tyrone, Pennsylvania
    Tyrone, Pennsylvania is a small borough in Blair County known historically as a railroad and industrial community in central Pennsylvania.
  • D. Coraopolis, Pennsylvania
    Coraopolis, Pennsylvania is a small borough in Allegheny County near Pittsburgh, known for its proximity to the Pittsburgh International Airport and as the home of several corporate offices and industrial facilities.
  • E. Brownsville, Pennsylvania
    Brownsville, Pennsylvania is a historic borough along the Monongahela River known for its early role in American westward expansion and riverboat commerce.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c4f9c481909642efccb29f71d4 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.