Triple

T3106408
Position Surface form Disambiguated ID Type / Status
Subject Nora Barlow E64840 entity
Predicate givenName P17 FINISHED
Object Hilda E231008 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: Hilda | Statement: [Nora Barlow, givenName, Hilda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilda
Context triple: [Nora Barlow, givenName, Hilda]
  • A. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • B. Hilda chosen
    Hilda is a central character in Nathaniel Hawthorne’s novel "The Marble Faun," depicted as a pure-hearted American artist living in Rome whose moral idealism contrasts with the story’s darker themes.
  • C. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Hilde
    Hilde is a feminine given name of Germanic origin, often associated with meanings related to battle or strength.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20388b7788190b78b9dd2671214ad completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.