Triple

T19781854
Position Surface form Disambiguated ID Type / Status
Subject King Lear (1971 film) E475153 entity
Predicate editedBy P1954 FINISHED
Object Janet Bartels
Janet Bartels is a film editor known for her work on the 1971 adaptation of Shakespeare's "King Lear."
E1569922 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: Janet Bartels | Statement: [King Lear (1971 film), editedBy, Janet Bartels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Bartels
Context triple: [King Lear (1971 film), editedBy, Janet Bartels]
  • A. Janet Ellis
    Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
  • B. Janet Hubert
    Janet Hubert is an American actress best known for originating the role of Aunt Vivian Banks on the hit 1990s sitcom "The Fresh Prince of Bel-Air."
  • C. Janet Shearon
    Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
  • D. Janet Surtees
    Janet Surtees is best known as the longtime wife of American actor James Arness, star of the classic television series "Gunsmoke."
  • E. Janet Roddick
    Janet Roddick is a New Zealand composer and musician known for her film and theatre scores, including work on Peter Jackson’s documentary "They Shall Not Grow Old."
  • 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: Janet Bartels
Triple: [King Lear (1971 film), editedBy, Janet Bartels]
Generated description
Janet Bartels is a film editor known for her work on the 1971 adaptation of Shakespeare's "King Lear."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Janet Bartels
Target entity description: Janet Bartels is a film editor known for her work on the 1971 adaptation of Shakespeare's "King Lear."
  • A. Janet Ellis
    Janet Ellis is a British television presenter and actress best known for her work on children's programmes such as Blue Peter and The Really Wild Show.
  • B. Janet Hubert
    Janet Hubert is an American actress best known for originating the role of Aunt Vivian Banks on the hit 1990s sitcom "The Fresh Prince of Bel-Air."
  • C. Janet Shearon
    Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
  • D. Janet Surtees
    Janet Surtees is best known as the longtime wife of American actor James Arness, star of the classic television series "Gunsmoke."
  • E. Janet Roddick
    Janet Roddick is a New Zealand composer and musician known for her film and theatre scores, including work on Peter Jackson’s documentary "They Shall Not Grow Old."
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653846a248190adc4afe0dc29a402 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c158f821c81909f5d1f32beccb417 completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c1990c8bc819080706e2505a5595c completed May 19, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1a321d64819081170a82f8321cdd completed May 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 1:49 p.m.