Triple

T19118197
Position Surface form Disambiguated ID Type / Status
Subject Lia McHugh E467963 entity
Predicate givenName P17 FINISHED
Object Lia NE NERFINISHED

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: Lia | Statement: [Lia McHugh, givenName, Lia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lia
Context triple: [Lia McHugh, givenName, Lia]
  • A. Lia chosen
    Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
  • B. Lia
    Lia is a central character in Umberto Eco's novel "Foucault's Pendulum," serving as a grounding, humanizing presence amid the book's dense intellectual conspiracies and esoteric themes.
  • C. Lai
    Lai is a variant spelling of the Chinese surname Li, commonly found in Chinese-speaking communities and their diasporas.
  • D. Lai
    The Lai are an indigenous ethnic group of the broader Mizo community, primarily inhabiting parts of northeast India and neighboring Myanmar, with their own distinct language and cultural traditions.
  • E. Lija
    Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.