Triple

T19437408
Position Surface form Disambiguated ID Type / Status
Subject Francis Urquhart E486258 entity
Predicate nickname P55 FINISHED
Object F.U.
F.U. is the infamous initials-based nickname of Francis Urquhart, the ruthless and manipulative Conservative politician at the center of the British political drama "House of Cards."
 E1374793 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: F.U. | Statement: [Francis Urquhart, nickname, F.U.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F.U.
Context triple: [Francis Urquhart, nickname, F.U.]
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • C. FUM
    FUM is the station code for Fulham Broadway, a London Underground station on the District line in the Fulham area of southwest London.
  • D. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • E. FÜS
    FÜS is the vehicle registration code for the town of Füssen in the Ostallgäu district of 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: F.U.
Triple: [Francis Urquhart, nickname, F.U.]
Generated description
F.U. is the infamous initials-based nickname of Francis Urquhart, the ruthless and manipulative Conservative politician at the center of the British political drama "House of Cards."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F.U.
Target entity description: F.U. is the infamous initials-based nickname of Francis Urquhart, the ruthless and manipulative Conservative politician at the center of the British political drama "House of Cards."
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • C. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • D. FUM
    FUM is the station code for Fulham Broadway, a London Underground station on the District line in the Fulham area of southwest London.
  • E. FÜS
    FÜS is the vehicle registration code for the town of Füssen in the Ostallgäu district of 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633618c2881908f3d2a9cabb02289 completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733e006108190b3c69d3224bc3d25 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0734809dc48190b4378e168e0e35ec completed May 15, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a07355c10c881909f8a2a3a6b7e7dfe completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:38 p.m.