Triple

T3377200
Position Surface form Disambiguated ID Type / Status
Subject Strictly Come Dancing E71092 entity
Predicate creator P184 FINISHED
Object Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
E403103 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: Karen Smith | Statement: [Strictly Come Dancing, creator, Karen Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Smith
Context triple: [Strictly Come Dancing, creator, Karen Smith]
  • A. Jennifer Smith
    Jennifer Smith is a Bermudian politician who served as Premier and was the first woman to lead the government of Bermuda.
  • B. Rose Smith
    Rose Smith is a central daughter in the Smith family and a romantic lead in the classic 1944 MGM musical film "Meet Me in St. Louis."
  • C. Katherine Smith
    Katherine Smith is an individual known primarily as the daughter of Benjamin A. Smith II, a former U.S. Senator from Massachusetts.
  • D. Sue Smith
    Sue Smith is an Australian screenwriter known for her work on film and television, including co-writing the screenplay for "Saving Mr. Banks."
  • E. Karen E. Smith
    Karen E. Smith is an American mathematician renowned for her contributions to commutative algebra and algebraic geometry, as well as for her influential expository work and leadership in the mathematical community.
  • 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: Karen Smith
Triple: [Strictly Come Dancing, creator, Karen Smith]
Generated description
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karen Smith
Target entity description: Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
  • A. Jennifer Smith
    Jennifer Smith is a Bermudian politician who served as Premier and was the first woman to lead the government of Bermuda.
  • B. Rose Smith
    Rose Smith is a central daughter in the Smith family and a romantic lead in the classic 1944 MGM musical film "Meet Me in St. Louis."
  • C. Katherine Smith
    Katherine Smith is an individual known primarily as the daughter of Benjamin A. Smith II, a former U.S. Senator from Massachusetts.
  • D. Sue Smith
    Sue Smith is an Australian screenwriter known for her work on film and television, including co-writing the screenplay for "Saving Mr. Banks."
  • E. Karen E. Smith
    Karen E. Smith is an American mathematician renowned for her contributions to commutative algebra and algebraic geometry, as well as for her influential expository work and leadership in the mathematical community.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e8d1988190b6fb6c4c5502f25f completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fccf644819082334b566f23c20a completed March 14, 2026, 11 a.m.
NEDg Description generation batch_69b54073ab1c8190a80adb7754fdcc58 completed March 14, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69b5412810748190905e09b773541eaa completed March 14, 2026, 11:06 a.m.
Created at: March 8, 2026, 3:13 p.m.