Triple

T18944817
Position Surface form Disambiguated ID Type / Status
Subject Caroline Dean E463482 entity
Predicate hasResearchSubject P22069 FINISHED
Object FRIGIDA (FRI)
FRIGIDA (FRI) is a key flowering-time regulatory gene in Arabidopsis thaliana that promotes late flowering by activating the expression of the floral repressor FLC.
E1350630 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: FRIGIDA (FRI) | Statement: [Caroline Dean, hasResearchSubject, FRIGIDA (FRI)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRIGIDA (FRI)
Context triple: [Caroline Dean, hasResearchSubject, FRIGIDA (FRI)]
  • A. Frigi
    Frigi is the official mascot character created to represent and promote a specific edition of the Olympic Games.
  • B. FRIBA
    FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
  • C. Frías
    Frías is a Spanish-language surname commonly found in Spain and Latin America.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. Friz
    Friz was the nickname of Friz Freleng, the influential American animator, cartoon director, and producer best known for his work on Looney Tunes and Merrie Melodies.
  • 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: FRIGIDA (FRI)
Triple: [Caroline Dean, hasResearchSubject, FRIGIDA (FRI)]
Generated description
FRIGIDA (FRI) is a key flowering-time regulatory gene in Arabidopsis thaliana that promotes late flowering by activating the expression of the floral repressor FLC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FRIGIDA (FRI)
Target entity description: FRIGIDA (FRI) is a key flowering-time regulatory gene in Arabidopsis thaliana that promotes late flowering by activating the expression of the floral repressor FLC.
  • A. Frigi
    Frigi is the official mascot character created to represent and promote a specific edition of the Olympic Games.
  • B. FRIBA
    FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
  • C. Frías
    Frías is a Spanish-language surname commonly found in Spain and Latin America.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. Friz
    Friz was the nickname of Friz Freleng, the influential American animator, cartoon director, and producer best known for his work on Looney Tunes and Merrie Melodies.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53e6e0c81908a547e21c4819bac completed April 20, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fc93e0c81908cc4b9755036ea29 completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a1b640488190934aa468b3638841 completed May 14, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a05a21b8a7c81909ad3f4148842e4c1 completed May 14, 2026, 10:21 a.m.
Created at: April 10, 2026, 11:59 a.m.