Triple

T3456593
Position Surface form Disambiguated ID Type / Status
Subject The Spy Who Came in from the Cold E72918 entity
Predicate mainCharacter P1183 FINISHED
Object Fiedler
Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
 E359171 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: Fiedler | Statement: [The Spy Who Came in from the Cold, mainCharacter, Fiedler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fiedler
Context triple: [The Spy Who Came in from the Cold, mainCharacter, Fiedler]
  • A. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • B. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • C. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • D. Flecher
    Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
  • E. Figan
    Figan is an individual known primarily through their familial relationship as the child of Flo.
  • 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: Fiedler
Triple: [The Spy Who Came in from the Cold, mainCharacter, Fiedler]
Generated description
Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fiedler
Target entity description: Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
  • A. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • B. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • C. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • D. Flecher
    Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
  • E. Figan
    Figan is an individual known primarily through their familial relationship as the child of Flo.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa9837c8190aafd618c6af3446e completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b361014b1c81909b6db97ec2395b73 completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b36200bc988190b5883c21b8bba5bc completed March 13, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_69b36264b39481909e8255c3af92c977 completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.