Triple

T9836649
Position Surface form Disambiguated ID Type / Status
Subject Blonde Venus E239118 entity
Predicate editor P1954 FINISHED
Object Otho Lovering E431259 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: Otho Lovering | Statement: [Blonde Venus, editor, Otho Lovering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otho Lovering
Context triple: [Blonde Venus, editor, Otho Lovering]
  • A. Otho Lovering chosen
    Otho Lovering was an American film editor best known for his work on classic Hollywood films, including John Ford’s Western "Stagecoach."
  • B. George Burnap
    George Burnap was an American landscape architect known for his influential work on early 20th-century urban parks and civic spaces in Washington, D.C.
  • C. William B. Worthington
    William B. Worthington is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the Worthington name.
  • D. Augustus Trowbridge
    Augustus Trowbridge was an American physicist and academic known for his work in optics and for mentoring influential engineers and scientists in the early 20th century.
  • E. Jesse G. Vincent
    Jesse G. Vincent is a software developer best known for creating the RT issue tracking system and contributing extensively to open-source projects.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ccb28c8190a580767a57474557 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:33 p.m.