Triple

T2399774
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Coe E47738 entity
Predicate honorificSuffix P341 FINISHED
Object FRIBA
FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
 E263783 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: FRIBA | Statement: [Sebastian Coe, honorificSuffix, FRIBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRIBA
Context triple: [Sebastian Coe, honorificSuffix, FRIBA]
  • A. JFBA
    JFBA is the nationwide professional body representing and regulating lawyers and bar associations in Japan.
  • B. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • C. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. BIFA
    BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
  • 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: FRIBA
Triple: [Sebastian Coe, honorificSuffix, FRIBA]
Generated description
FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRIBA
Target entity description: FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
  • A. JFBA
    JFBA is the nationwide professional body representing and regulating lawyers and bar associations in Japan.
  • B. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • C. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. BIFA
    BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c95d8c819088e4bb4fb32452ae completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e081648190be42e9fc5046830f completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4a5011c8190bda6c487dab73131 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb59d0e5c819080bf5b34946b68ac completed March 9, 2026, 11:57 a.m.
Created at: March 4, 2026, 7:57 p.m.