Triple

T5720991
Position Surface form Disambiguated ID Type / Status
Subject George Ellery Hale E126143 entity
Predicate hasFamilyName P18 FINISHED
Object Hale E126143 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: Hale | Statement: [George Ellery Hale, hasFamilyName, Hale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hale
Context triple: [George Ellery Hale, hasFamilyName, Hale]
  • A. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • B. Hale chosen
    Hale is a surname most notably associated with American solar astronomer George Ellery Hale, a pioneer in the development of modern astrophysical observatories.
  • C. Hale
    Hale is a small village in the Borough of Halton in Cheshire, England, known for its historic thatched cottages and rural character along the River Mersey.
  • D. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • E. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e328e08190a67e845b296e34e9 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a7db0788190b4a5e7b5d9c94588 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.