Triple

T13381247
Position Surface form Disambiguated ID Type / Status
Subject Silverstone Circuit E319322 entity
Predicate hasCorner P42380 FINISHED
Object Becketts
Becketts is a fast, sweeping sequence of corners at Silverstone Circuit renowned for its high-speed direction changes and challenge to drivers.
 E1036826 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: Becketts | Statement: [Silverstone Circuit, hasCorner, Becketts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Becketts
Context triple: [Silverstone Circuit, hasCorner, Becketts]
  • A. Rackhams
    Rackhams was a well-known British department store chain, particularly prominent in the Midlands, that later became part of the House of Fraser group.
  • B. Beckett
    Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
  • C. Hackett
    Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
  • D. Hackett
    Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • E. Bealings
    Bealings is a small rural village and civil parish located in the English county of Suffolk.
  • 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: Becketts
Triple: [Silverstone Circuit, hasCorner, Becketts]
Generated description
Becketts is a fast, sweeping sequence of corners at Silverstone Circuit renowned for its high-speed direction changes and challenge to drivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Becketts
Target entity description: Becketts is a fast, sweeping sequence of corners at Silverstone Circuit renowned for its high-speed direction changes and challenge to drivers.
  • A. Rackhams
    Rackhams was a well-known British department store chain, particularly prominent in the Midlands, that later became part of the House of Fraser group.
  • B. Beckett
    Beckett is a surname most famously associated with Samuel Beckett, the Irish avant-garde novelist, playwright, and Nobel Prize–winning author of "Waiting for Godot."
  • C. Hackett
    Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
  • D. Hackett
    Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • E. Bealings
    Bealings is a small rural village and civil parish located in the English county of Suffolk.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce694788190881d1feac5b75720 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268b09808190b4ffd1db72e1f1f1 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7277a73248190aa59a997d719cab8 completed May 3, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_69f7281e150081909a92201ceb30b8d6 completed May 3, 2026, 10:49 a.m.
Created at: April 9, 2026, 9:33 p.m.