Triple

T9104050
Position Surface form Disambiguated ID Type / Status
Subject Gray E218431 entity
Predicate hasNotableBearer P458 FINISHED
Object Elisha Gray E69110 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: Elisha Gray | Statement: [Gray, hasNotableBearer, Elisha Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisha Gray
Context triple: [Gray, hasNotableBearer, Elisha Gray]
  • A. Elisha Gray chosen
    Elisha Gray was a 19th-century American electrical engineer and inventor, best known as a pioneer in telegraphy and early telephone technology.
  • B. Alexander Graham Bell
    Alexander Graham Bell was a Scottish-born inventor, scientist, and teacher of the deaf best known for inventing and patenting the first practical telephone.
  • C. Alexander Melville Bell
    Alexander Melville Bell was a 19th-century British-Canadian phonetician and educator best known for his work on visible speech and as the father of telephone inventor Alexander Graham Bell.
  • D. Edward Nichols
    Edward Nichols was a physicist best known for founding the influential scientific journal Physical Review.
  • E. Robert W. de Forest
    Robert W. de Forest was an American lawyer, philanthropist, and civic leader known for his influential roles in social reform, public health, and the arts in the early 20th century United States.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca56f1f10819091abadf7cd06c3a6 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0183677cc8190b3140278f4c6de9c completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.