Triple

T1873013
Position Surface form Disambiguated ID Type / Status
Subject Ian E39074 entity
Predicate hasVariant P455 FINISHED
Object Ioan
Ioan is a given name, commonly used in Romanian and other Eastern European languages, that corresponds to the English name John.
 E208142 NE FINISHED

How this triple was built (4 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: Ioan | Statement: [Ian, hasVariant, Ioan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ioan
Context triple: [Ian, hasVariant, Ioan]
  • A. Petrus
    Petrus is the Latin form of the name Peter, historically used in religious and classical contexts and serving as the root for various European given names.
  • B. Cornelius
    Cornelius is the given first name of Connie Mack, the legendary early 20th-century Major League Baseball manager and team owner.
  • C. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • D. Didymus
    Didymus is another name for the Apostle Thomas, one of Jesus Christ’s twelve original disciples in the New Testament.
  • E. Nazarenus
    Nazarenus is a Latin term meaning “of Nazareth,” traditionally used in Christian inscriptions and texts to refer to Jesus as “the Nazarene.”
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ioan
Triple: [Ian, hasVariant, Ioan]
Generated description
Ioan is a given name, commonly used in Romanian and other Eastern European languages, that corresponds to the English name John.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ioan
Target entity description: Ioan is a given name, commonly used in Romanian and other Eastern European languages, that corresponds to the English name John.
  • A. Petrus
    Petrus is the Latin form of the name Peter, historically used in religious and classical contexts and serving as the root for various European given names.
  • B. Cornelius
    Cornelius is the given first name of Connie Mack, the legendary early 20th-century Major League Baseball manager and team owner.
  • C. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • D. Didymus
    Didymus is another name for the Apostle Thomas, one of Jesus Christ’s twelve original disciples in the New Testament.
  • E. Nazarenus
    Nazarenus is a Latin term meaning “of Nazareth,” traditionally used in Christian inscriptions and texts to refer to Jesus as “the Nazarene.”
  • F. None of above. chosen

Provenance (5 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d4dc6c81908ecd55abd779ae3a completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1de8728819090e80868f27c09af completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add25c9c208190a576cf1123c0a2e6 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:34 p.m.