Triple

T1384314
Position Surface form Disambiguated ID Type / Status
Subject George Philip Wells E29809 entity
Predicate name P16 FINISHED
Object George Philip Wells E29809 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: George Philip Wells | Statement: [George Philip Wells, name, George Philip Wells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Philip Wells
Context triple: [George Philip Wells, name, George Philip Wells]
  • A. George Philip Wells chosen
    George Philip Wells was a British zoologist and author, known both for his scientific work and as the son of writer H. G. Wells.
  • B. George Wells
    George Wells was an American screenwriter known for his work on classic Hollywood films, including several MGM musicals and comedies.
  • C. Arthur Whitten Brown
    Arthur Whitten Brown was a British aviator best known as the navigator on the first non-stop transatlantic flight in 1919 alongside pilot John Alcock.
  • D. Felix de Weldon
    Felix de Weldon was an Austrian-American sculptor best known for creating the iconic Iwo Jima flag-raising statue and numerous other public monuments.
  • E. Frederick H. Meyer
    Frederick H. Meyer was an American architect active in the early 20th century, known for designing prominent public and commercial buildings in San Francisco.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33896548190b44f70c9aaaed9b6 completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1f08e08190871fd9d539e902c8 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.