Triple

T12239048
Position Surface form Disambiguated ID Type / Status
Subject Bill Sackter E291678 entity
Predicate hasFriend P8712 FINISHED
Object Beverly Morrow
Beverly Morrow is known as a close friend and companion of Bill Sackter, the intellectually disabled man whose life story inspired the film "Bill."
 E1094484 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: Beverly Morrow | Statement: [Bill Sackter, hasFriend, Beverly Morrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beverly Morrow
Context triple: [Bill Sackter, hasFriend, Beverly Morrow]
  • A. Beverly Wood
    Beverly Wood was the wife of American singer and television host Tennessee Ernie Ford.
  • B. Beverly Kelly
    Beverly Kelly is best known as the wife of American actor James Coburn.
  • C. Patricia Morrow
    Patricia Morrow is an American actress best known for her television work in the 1950s and 1960s, including a prominent role on the soap opera "Peyton Place."
  • D. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • E. Beverly Bentley
    Beverly Bentley was an American actress and model known for her work in film and television during 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: Beverly Morrow
Triple: [Bill Sackter, hasFriend, Beverly Morrow]
Generated description
Beverly Morrow is known as a close friend and companion of Bill Sackter, the intellectually disabled man whose life story inspired the film "Bill."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beverly Morrow
Target entity description: Beverly Morrow is known as a close friend and companion of Bill Sackter, the intellectually disabled man whose life story inspired the film "Bill."
  • A. Beverly Wood
    Beverly Wood was the wife of American singer and television host Tennessee Ernie Ford.
  • B. Beverly Kelly
    Beverly Kelly is best known as the wife of American actor James Coburn.
  • C. Patricia Morrow
    Patricia Morrow is an American actress best known for her television work in the 1950s and 1960s, including a prominent role on the soap opera "Peyton Place."
  • D. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • E. Beverly Bentley
    Beverly Bentley was an American actress and model known for her work in film and television during 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c1d31048190ab0a8d8e00515211 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4cab717c819080d817d9851fe7c6 completed May 8, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69fd4d5b489081908016e62d4db476ce completed May 8, 2026, 2:41 a.m.
Created at: April 8, 2026, 9:51 p.m.