Triple

T21510700
Position Surface form Disambiguated ID Type / Status
Subject Henry Farrell E530709 entity
Predicate spouse P13 FINISHED
Object Virginia Sheehan
Virginia Sheehan is known primarily as the wife of American political scientist and author Henry Farrell.
 E1487295 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: Virginia Sheehan | Statement: [Henry Farrell, spouse, Virginia Sheehan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virginia Sheehan
Context triple: [Henry Farrell, spouse, Virginia Sheehan]
  • A. Anne Sheehan
    Anne Sheehan is a film producer known for her work on the 2018 romantic drama "Ophelia."
  • B. Rachel McLish
    Rachel McLish is an American female bodybuilding pioneer, fitness author, and actress who became widely known for popularizing women’s bodybuilding in the early 1980s.
  • C. Sharon Keenan
    Sharon Keenan is a notable individual recognized as a prominent bearer of the surname Keenan.
  • D. Jeannie Moore
    Jeannie Moore is best known as the first wife of American actor Ernie Hudson, recognized for his role in the "Ghostbusters" film series.
  • E. Nancy Callahan
    Nancy Callahan is a fictional character from Frank Miller's "Sin City" graphic novels and their film adaptations, known as a resilient and compassionate stripper who survives childhood trauma.
  • 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: Virginia Sheehan
Triple: [Henry Farrell, spouse, Virginia Sheehan]
Generated description
Virginia Sheehan is known primarily as the wife of American political scientist and author Henry Farrell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Virginia Sheehan
Target entity description: Virginia Sheehan is known primarily as the wife of American political scientist and author Henry Farrell.
  • A. Anne Sheehan
    Anne Sheehan is a film producer known for her work on the 2018 romantic drama "Ophelia."
  • B. Rachel McLish
    Rachel McLish is an American female bodybuilding pioneer, fitness author, and actress who became widely known for popularizing women’s bodybuilding in the early 1980s.
  • C. Sharon Keenan
    Sharon Keenan is a notable individual recognized as a prominent bearer of the surname Keenan.
  • D. Jeannie Moore
    Jeannie Moore is best known as the first wife of American actor Ernie Hudson, recognized for his role in the "Ghostbusters" film series.
  • E. Nancy Callahan
    Nancy Callahan is a fictional character from Frank Miller's "Sin City" graphic novels and their film adaptations, known as a resilient and compassionate stripper who survives childhood trauma.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e143c73081908ace3b52a18bdf98 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1e8a698819093ed056a1a007aba completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e278b5488190a71119d3c62f64c0 completed May 17, 2026, 3:44 p.m.
Created at: April 16, 2026, 6:25 p.m.