Triple

T12207629
Position Surface form Disambiguated ID Type / Status
Subject Fréchet Inception Distance E290874 entity
Predicate alsoKnownAs P39 FINISHED
Object FID
FID is a metric used to evaluate the quality of images generated by models like GANs by comparing their feature distributions to those of real images using a pretrained Inception network.
E971760 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: FID | Statement: [Fréchet Inception Distance, alsoKnownAs, FID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FID
Context triple: [Fréchet Inception Distance, alsoKnownAs, FID]
  • A. FiDi
    FiDi is a common nickname for the Financial District, a major commercial and financial hub in cities like New York and San Francisco.
  • B. FIDA
    FIDA is a Palestinian leftist political party formally known as the Palestinian Democratic Union.
  • C. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • D. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • E. Fid. Def.
    Fid. Def. is the Latin abbreviation for "Fidei Defensor," a title meaning "Defender of the Faith" traditionally used by English and later British monarchs.
  • 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: FID
Triple: [Fréchet Inception Distance, alsoKnownAs, FID]
Generated description
FID is a metric used to evaluate the quality of images generated by models like GANs by comparing their feature distributions to those of real images using a pretrained Inception network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FID
Target entity description: FID is a metric used to evaluate the quality of images generated by models like GANs by comparing their feature distributions to those of real images using a pretrained Inception network.
  • A. FiDi
    FiDi is a common nickname for the Financial District, a major commercial and financial hub in cities like New York and San Francisco.
  • B. FIDA
    FIDA is a Palestinian leftist political party formally known as the Palestinian Democratic Union.
  • C. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • D. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • E. Fid. Def.
    Fid. Def. is the Latin abbreviation for "Fidei Defensor," a title meaning "Defender of the Faith" traditionally used by English and later British monarchs.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9d2f0c81908352cd9f0167c6ab completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.