Triple

T9279971
Position Surface form Disambiguated ID Type / Status
Subject Kate Flannery E223041 entity
Predicate sibling P363 FINISHED
Object Nancy Flannery
Nancy Flannery is known primarily as the sister of American actress and comedian Kate Flannery.
 E807150 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: Nancy Flannery | Statement: [Kate Flannery, sibling, Nancy Flannery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nancy Flannery
Context triple: [Kate Flannery, sibling, Nancy Flannery]
  • A. Nancy O’Malley
    Nancy O’Malley is an American prosecutor known for serving as the elected District Attorney of Alameda County, California, and for her work on criminal justice reform and victim advocacy.
  • B. Nancy Fallon
    Nancy Fallon is the teenage protagonist of the film "Teenage Rebel," whose struggles with family and identity drive the story’s emotional conflict.
  • C. Michelle Flaherty
    Michelle Flaherty is a central comedic character in the American Pie film series, known for her quirky, enthusiastic personality and memorable one-liners.
  • D. Margaret O'Leary
    Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
  • E. Nancy Sullivan
    Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
  • 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: Nancy Flannery
Triple: [Kate Flannery, sibling, Nancy Flannery]
Generated description
Nancy Flannery is known primarily as the sister of American actress and comedian Kate Flannery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nancy Flannery
Target entity description: Nancy Flannery is known primarily as the sister of American actress and comedian Kate Flannery.
  • A. Nancy O’Malley
    Nancy O’Malley is an American prosecutor known for serving as the elected District Attorney of Alameda County, California, and for her work on criminal justice reform and victim advocacy.
  • B. Nancy Fallon
    Nancy Fallon is the teenage protagonist of the film "Teenage Rebel," whose struggles with family and identity drive the story’s emotional conflict.
  • C. Michelle Flaherty
    Michelle Flaherty is a central comedic character in the American Pie film series, known for her quirky, enthusiastic personality and memorable one-liners.
  • D. Margaret O'Leary
    Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
  • E. Nancy Sullivan
    Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cd9a1c8190af0521baa428ce10 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1525bd4e88190a62e5e383d1e786b completed April 4, 2026, 6:03 p.m.
NEDg Description generation batch_69d155cf87c0819086b6a618e2102cdf completed April 4, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_69d155f5e2008190b881e1d6a807ca81 completed April 4, 2026, 6:18 p.m.
Created at: March 30, 2026, 7:34 p.m.