Triple

T20173023
Position Surface form Disambiguated ID Type / Status
Subject Miquela E492016 entity
Predicate variantOf P4680 FINISHED
Object Michaela 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: Michaela | Statement: [Miquela, variantOf, Michaela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michaela
Context triple: [Miquela, variantOf, Michaela]
  • A. Michaela chosen
    Michaela is a feminine given name used in various languages, often considered the female form of Michael.
  • B. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • C. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • D. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • E. Valeria
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66849709c81909b65b421282f9f3b completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.