Triple

T20650472
Position Surface form Disambiguated ID Type / Status
Subject Mrs Wilson E507476 entity
Predicate executiveProducer P7225 FINISHED
Object Ruth Kenley-Letts
Ruth Kenley-Letts is a British television and film producer known for her work on acclaimed drama series and literary adaptations.
 E1442421 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: Ruth Kenley-Letts | Statement: [Mrs Wilson, executiveProducer, Ruth Kenley-Letts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruth Kenley-Letts
Context triple: [Mrs Wilson, executiveProducer, Ruth Kenley-Letts]
  • A. Ruth Henderson
    Ruth Henderson was an American actress and singer best known as the wife and professional partner of bandleader and television personality Skitch Henderson.
  • B. Mary Luckett
    Mary Luckett is known as the spouse of Ben Luckett.
  • C. Elizabeth Holcombe
    Elizabeth Holcombe was the woman who served as the sponsor of the U.S. Navy heavy cruiser USS Houston (CA-30), ceremonially christening the ship at its launch.
  • D. Ruth McCord
    Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
  • E. Ruth McDevitt
    Ruth McDevitt was an American character actress known for her work on Broadway, film, and television in the mid-20th century.
  • 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: Ruth Kenley-Letts
Triple: [Mrs Wilson, executiveProducer, Ruth Kenley-Letts]
Generated description
Ruth Kenley-Letts is a British television and film producer known for her work on acclaimed drama series and literary adaptations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruth Kenley-Letts
Target entity description: Ruth Kenley-Letts is a British television and film producer known for her work on acclaimed drama series and literary adaptations.
  • A. Ruth Henderson
    Ruth Henderson was an American actress and singer best known as the wife and professional partner of bandleader and television personality Skitch Henderson.
  • B. Mary Luckett
    Mary Luckett is known as the spouse of Ben Luckett.
  • C. Elizabeth Holcombe
    Elizabeth Holcombe was the woman who served as the sponsor of the U.S. Navy heavy cruiser USS Houston (CA-30), ceremonially christening the ship at its launch.
  • D. Ruth McCord
    Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
  • E. Ruth McDevitt
    Ruth McDevitt was an American character actress known for her work on Broadway, film, and television in the mid-20th century.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59354388190b5c2a0c1bdd14575 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:43 a.m.