Triple

T5569033
Position Surface form Disambiguated ID Type / Status
Subject Michał E145950 entity
Predicate hasFeminineForm P1613 FINISHED
Object Michaela
Michaela is a feminine given name used in various languages, often considered the female form of Michael.
E534386 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: Michaela | Statement: [Michał, hasFeminineForm, Michaela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michaela
Context triple: [Michał, hasFeminineForm, Michaela]
  • A. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • B. 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.
  • C. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • D. Valeria
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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: Michaela
Triple: [Michał, hasFeminineForm, Michaela]
Generated description
Michaela is a feminine given name used in various languages, often considered the female form of Michael.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michaela
Target entity description: Michaela is a feminine given name used in various languages, often considered the female form of Michael.
  • A. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • B. 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.
  • C. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • D. Valeria
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0203789688190a0bab723186214ad completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d177d18819090018371d22c66a3 completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04e868cc48190bdb245ba52b9b938 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f0de68c8190817b525f2d8ef327 completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:36 p.m.