Triple

T10355113
Position Surface form Disambiguated ID Type / Status
Subject Felicia Farr E243980 entity
Predicate birthName P65 FINISHED
Object Olive Dines
Olive Dines is the birth name of American actress and former model Felicia Farr, known for her film and television work from the 1950s onward.
E857995 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: Olive Dines | Statement: [Felicia Farr, birthName, Olive Dines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olive Dines
Context triple: [Felicia Farr, birthName, Olive Dines]
  • A. Helen Burger
    Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
  • B. Olive Chancellor
    Olive Chancellor is a passionate, reform-minded Boston feminist and social reformer who serves as the central figure in Henry James’s novel *The Bostonians*.
  • C. Vickery Oates
    Vickery Oates is best known as the wife of American character actor Warren Oates.
  • D. Florence Rice
    Florence Rice was an American film and stage actress active in the 1930s and 1940s, known for her supporting roles in Hollywood musicals and comedies.
  • E. Fay Tincher
    Fay Tincher was an American silent film actress and comedian known for her energetic performances in early 20th-century cinema.
  • 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: Olive Dines
Triple: [Felicia Farr, birthName, Olive Dines]
Generated description
Olive Dines is the birth name of American actress and former model Felicia Farr, known for her film and television work from the 1950s onward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olive Dines
Target entity description: Olive Dines is the birth name of American actress and former model Felicia Farr, known for her film and television work from the 1950s onward.
  • A. Helen Burger
    Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
  • B. Olive Chancellor
    Olive Chancellor is a passionate, reform-minded Boston feminist and social reformer who serves as the central figure in Henry James’s novel *The Bostonians*.
  • C. Vickery Oates
    Vickery Oates is best known as the wife of American character actor Warren Oates.
  • D. Florence Rice
    Florence Rice was an American film and stage actress active in the 1930s and 1940s, known for her supporting roles in Hollywood musicals and comedies.
  • E. Fay Tincher
    Fay Tincher was an American silent film actress and comedian known for her energetic performances in early 20th-century cinema.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618da0188190901026dd51ceaa46 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77045ea988190bd8e31f5f636f69b completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:58 a.m.