Triple

T1308523
Position Surface form Disambiguated ID Type / Status
Subject British Academy E27934 entity
Predicate postNominalLetters P1600 FINISHED
Object FBA
FBA is the post-nominal designation used to indicate a Fellow of the British Academy, recognizing distinguished achievement in the humanities and social sciences.
 E149402 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: FBA | Statement: [British Academy, postNominalLetters, FBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FBA
Context triple: [British Academy, postNominalLetters, FBA]
  • A. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • B. FBU
    FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • C. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • D. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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: FBA
Triple: [British Academy, postNominalLetters, FBA]
Generated description
FBA is the post-nominal designation used to indicate a Fellow of the British Academy, recognizing distinguished achievement in the humanities and social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FBA
Target entity description: FBA is the post-nominal designation used to indicate a Fellow of the British Academy, recognizing distinguished achievement in the humanities and social sciences.
  • A. FBN
    FBN is the abbreviation commonly used for the Fox Business Network, a U.S.-based cable and satellite business news channel.
  • B. FBU
    FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
  • C. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • D. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c13806b48190a0db33f8e5d53734 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb308fdcc8190b33da42f16cd65dd completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3a1978c819081cdc85f8fe10dd3 completed March 7, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69acb4132dbc8190b3e6c4880c33b7f2 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.