Triple

T1476091
Position Surface form Disambiguated ID Type / Status
Subject Emma E30843 entity
Predicate hasVariant P455 FINISHED
Object Ema
Ema is a given name used as a variant spelling of Emma in various languages and cultures.
 E168865 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: Ema | Statement: [Emma, hasVariant, Ema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ema
Context triple: [Emma, hasVariant, Ema]
  • A. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • B. Magdalena
    Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
  • C. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Epe
    Epe is a coastal town and local government area in Lagos State, Nigeria, known for its fishing communities, markets, and proximity to the Lekki Lagoon.
  • 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: Ema
Triple: [Emma, hasVariant, Ema]
Generated description
Ema is a given name used as a variant spelling of Emma in various languages and cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ema
Target entity description: Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • A. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • B. Magdalena
    Magdalena is the given first name of Swedish opera singer and environmental activist Malena Ernman.
  • C. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Epe
    Epe is a coastal town and local government area in Lagos State, Nigeria, known for its fishing communities, markets, and proximity to the Lekki Lagoon.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15ab9430819094deb90436983036 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad1618cfa48190b0050e8451e9cd48 completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad1689940c8190ba611a74955033d2 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 8:11 p.m.