Triple

T2191395
Position Surface form Disambiguated ID Type / Status
Subject Red Cashion E49868 entity
Predicate spouse P13 FINISHED
Object Jane Cashion
Jane Cashion is known as the wife of longtime NFL referee Red Cashion.
E445298 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: Jane Cashion | Statement: [Red Cashion, spouse, Jane Cashion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Cashion
Context triple: [Red Cashion, spouse, Jane Cashion]
  • A. Glenna Goodacre
    Glenna Goodacre was an American sculptor renowned for her figurative public monuments, including the Vietnam Women's Memorial in Washington, D.C., and the design of the U.S. Sacagawea dollar coin.
  • B. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • C. Elizabeth Reaser
    Elizabeth Reaser is an American actress best known for her roles in the Twilight film series and the television drama Grey's Anatomy.
  • D. Joyce Redman
    Joyce Redman was an Irish-born British actress known for her character roles in film, television, and theatre, including acclaimed performances in adaptations of classic literature.
  • E. Virginia Cunningham
    Virginia Cunningham is the troubled protagonist of the novel and film "The Snake Pit," whose experiences depict the harsh realities of life inside a mid-20th-century psychiatric institution.
  • 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: Jane Cashion
Triple: [Red Cashion, spouse, Jane Cashion]
Generated description
Jane Cashion is known as the wife of longtime NFL referee Red Cashion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jane Cashion
Target entity description: Jane Cashion is known as the wife of longtime NFL referee Red Cashion.
  • A. Glenna Goodacre
    Glenna Goodacre was an American sculptor renowned for her figurative public monuments, including the Vietnam Women's Memorial in Washington, D.C., and the design of the U.S. Sacagawea dollar coin.
  • B. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • C. Elizabeth Reaser
    Elizabeth Reaser is an American actress best known for her roles in the Twilight film series and the television drama Grey's Anatomy.
  • D. Joyce Redman
    Joyce Redman was an Irish-born British actress known for her character roles in film, television, and theatre, including acclaimed performances in adaptations of classic literature.
  • E. Virginia Cunningham
    Virginia Cunningham is the troubled protagonist of the novel and film "The Snake Pit," whose experiences depict the harsh realities of life inside a mid-20th-century psychiatric institution.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf3f5e008190beda3ce5d77209e0 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b67b92d4dc81908a26a977bc25319c completed March 15, 2026, 9:27 a.m.
NEDg Description generation batch_69b67d82a2cc81909c6cb1118389a7eb completed March 15, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69b67e6a58e0819086b510a53ff23bb3 completed March 15, 2026, 9:39 a.m.
Created at: March 4, 2026, 7:46 p.m.