Triple

T9794890
Position Surface form Disambiguated ID Type / Status
Subject Walking Distance E237693 entity
Predicate starring P1507 FINISHED
Object Irene Tedrow
Irene Tedrow was an American character actress known for her extensive work in radio, television, and film throughout the mid-20th century.
E860870 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: Irene Tedrow | Statement: [Walking Distance, starring, Irene Tedrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Tedrow
Context triple: [Walking Distance, starring, Irene Tedrow]
  • A. Marilee Earle
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • B. Irene Jackson Sloan
    Irene Jackson Sloan was the wife of Alfred P. Sloan, the influential long-time president and chairman of General Motors.
  • C. Eileen Pardee
    Eileen Pardee is known as the former spouse of Anthony Dryden Marshall, the American theatrical producer and son of philanthropist Brooke Astor.
  • D. Helen Ann Dolan
    Helen Ann Dolan is known as the wife of American cable television pioneer and Cablevision founder Charles F. Dolan.
  • E. Dorothy Yost
    Dorothy Yost was an American screenwriter active during Hollywood’s early sound era, known for contributing to numerous studio films across genres.
  • 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: Irene Tedrow
Triple: [Walking Distance, starring, Irene Tedrow]
Generated description
Irene Tedrow was an American character actress known for her extensive work in radio, television, and film throughout the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irene Tedrow
Target entity description: Irene Tedrow was an American character actress known for her extensive work in radio, television, and film throughout the mid-20th century.
  • A. Marilee Earle
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • B. Irene Jackson Sloan
    Irene Jackson Sloan was the wife of Alfred P. Sloan, the influential long-time president and chairman of General Motors.
  • C. Eileen Pardee
    Eileen Pardee is known as the former spouse of Anthony Dryden Marshall, the American theatrical producer and son of philanthropist Brooke Astor.
  • D. Helen Ann Dolan
    Helen Ann Dolan is known as the wife of American cable television pioneer and Cablevision founder Charles F. Dolan.
  • E. Dorothy Yost
    Dorothy Yost was an American screenwriter active during Hollywood’s early sound era, known for contributing to numerous studio films across genres.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d79445b9288190a684184285966fa8 completed April 9, 2026, 11:57 a.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: March 30, 2026, 8:28 p.m.