Triple

T21834000
Position Surface form Disambiguated ID Type / Status
Subject Michalina E539071 entity
Predicate variantForm 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: [Michalina, variantForm, Michaela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michaela
Context triple: [Michalina, variantForm, Michaela]
  • A. Michaela chosen
    Michaela is a feminine given name used in various languages, often considered the female form of Michael.
  • B. Michela
    Michela is a given name, commonly used in Italian- and Portuguese-speaking countries as a feminine form of Michael.
  • C. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • D. 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.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a5eeb88190b58b5b6d363cd6e3 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.