Triple

T15706406
Position Surface form Disambiguated ID Type / Status
Subject Iris E380721 entity
Predicate hasVariant P455 FINISHED
Object Irisa
Irisa is a given name derived from or related to Iris, often associated with the flower and the Greek goddess of the rainbow.
 E1172207 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: Irisa | Statement: [Iris, hasVariant, Irisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irisa
Context triple: [Iris, hasVariant, Irisa]
  • A. Guichen
    Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
  • B. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • C. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • D. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • E. The Nice
    The Nice were an influential late-1960s English progressive rock band led by keyboardist Keith Emerson, known for pioneering the fusion of rock, jazz, and classical music.
  • 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: Irisa
Triple: [Iris, hasVariant, Irisa]
Generated description
Irisa is a given name derived from or related to Iris, often associated with the flower and the Greek goddess of the rainbow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irisa
Target entity description: Irisa is a given name derived from or related to Iris, often associated with the flower and the Greek goddess of the rainbow.
  • A. Guichen
    Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
  • B. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • C. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • D. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • E. The Nice
    The Nice were an influential late-1960s English progressive rock band led by keyboardist Keith Emerson, known for pioneering the fusion of rock, jazz, and classical music.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f70d44c81909edba6bd4b58b1c5 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757997348190b29a9b55ba08169f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff7653ccc08190b4b44b4f55344f65 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76d21a148190bbe66c3ff12386f3 completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 4:45 a.m.