Triple

T1105194
Position Surface form Disambiguated ID Type / Status
Subject The Accused E25472 entity
Predicate starring P1507 FINISHED
Object Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
 E267169 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: Ann Hearn | Statement: [The Accused, starring, Ann Hearn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ann Hearn
Context triple: [The Accused, starring, Ann Hearn]
  • A. Ann Hines
    Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
  • B. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • C. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • D. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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: Ann Hearn
Triple: [The Accused, starring, Ann Hearn]
Generated description
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ann Hearn
Target entity description: Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • A. Ann Hines
    Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
  • B. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • C. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • D. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69aef06424f48190bf3604cc342992b6 completed March 9, 2026, 4:08 p.m.
NEDg Description generation batch_69aef56527308190923fc5394ba2521a completed March 9, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69aef6450a1c8190ad5a844b31bff220 completed March 9, 2026, 4:33 p.m.
Created at: March 1, 2026, 7:43 p.m.