Triple

T2221952
Position Surface form Disambiguated ID Type / Status
Subject British Independent Film Award for Best Actress E48159 entity
Predicate organisedBy P123 FINISHED
Object BIFA
BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
 E246264 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: BIFA | Statement: [British Independent Film Award for Best Actress, organisedBy, BIFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BIFA
Context triple: [British Independent Film Award for Best Actress, organisedBy, BIFA]
  • A. BIF
    BIF is the National Rail station code for Barrow-in-Furness railway station in Cumbria, England.
  • B. BAF
    BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
  • C. BIE
    BIE is a U.S. federal agency within the Department of the Interior responsible for providing and overseeing education services for Native American students in schools on or near reservations.
  • D. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • E. BIA
    BIA is a U.S. federal agency within the Department of the Interior responsible for managing relations and services for Native American tribes and Alaska Natives.
  • 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: BIFA
Triple: [British Independent Film Award for Best Actress, organisedBy, BIFA]
Generated description
BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BIFA
Target entity description: BIFA is the organization that runs the British Independent Film Awards, celebrating excellence in independent filmmaking in the United Kingdom.
  • A. BIF
    BIF is the National Rail station code for Barrow-in-Furness railway station in Cumbria, England.
  • B. BAF
    BAF is the service number prefix used to identify personnel of the Belgian Air Component (Belgian Air Force).
  • C. BIE
    BIE is a U.S. federal agency within the Department of the Interior responsible for providing and overseeing education services for Native American students in schools on or near reservations.
  • D. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • E. BIA
    BIA is a U.S. federal agency within the Department of the Interior responsible for managing relations and services for Native American tribes and Alaska Natives.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65605fa481908ac5b9d837600626 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae669aa29c81909770cd69d27c274c completed March 9, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae66fb7f1c8190b2bc306f06c423f1 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:47 p.m.