Triple

T1200141
Position Surface form Disambiguated ID Type / Status
Subject Boys Town E25760 entity
Predicate starring P1507 FINISHED
Object Leslie Fenton
Leslie Fenton was a British-born American actor and film director active in Hollywood during the early to mid-20th century.
E182103 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: Leslie Fenton | Statement: [Boys Town, starring, Leslie Fenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Fenton
Context triple: [Boys Town, starring, Leslie Fenton]
  • A. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • B. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • C. Leslie Harter
    Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
  • D. Annette Kaye
    Annette Kaye is known as one of Larry King's former wives, with whom he reportedly had a brief marriage and a son.
  • E. June Rowlands
    June Rowlands was a Canadian politician who became the first woman to serve as mayor of Toronto, leading the city in the early 1990s.
  • 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: Leslie Fenton
Triple: [Boys Town, starring, Leslie Fenton]
Generated description
Leslie Fenton was a British-born American actor and film director active in Hollywood during the early to mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leslie Fenton
Target entity description: Leslie Fenton was a British-born American actor and film director active in Hollywood during the early to mid-20th century.
  • A. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • B. Yvonne Roberts
    Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
  • C. Leslie Harter
    Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
  • D. Annette Kaye
    Annette Kaye is known as one of Larry King's former wives, with whom he reportedly had a brief marriage and a son.
  • E. June Rowlands
    June Rowlands was a Canadian politician who became the first woman to serve as mayor of Toronto, leading the city in the early 1990s.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9ec3488190afe35af54efae5e9 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad51996dc08190afecb40095e3d3e2 completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad521ac9a88190978b9ed3e3d14d98 completed March 8, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad52bfdbec81908f7240c46ce11888 completed March 8, 2026, 10:43 a.m.
Created at: March 1, 2026, 7:46 p.m.