Triple

T15185956
Position Surface form Disambiguated ID Type / Status
Subject Ruth Hussey E362874 entity
Predicate spouse P13 FINISHED
Object Bob Longenecker
Bob Longenecker was the husband of American actress Ruth Hussey, known primarily in relation to her life and career.
 E1150243 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: Bob Longenecker | Statement: [Ruth Hussey, spouse, Bob Longenecker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bob Longenecker
Context triple: [Ruth Hussey, spouse, Bob Longenecker]
  • A. Bill Riling
    Bill Riling is a screenwriter best known for his work on the animated holiday television special "Shrek the Halls."
  • B. Bill Bolling
    Bill Bolling is an American Republican politician who served as the 39th Lieutenant Governor of Virginia from 2006 to 2014.
  • C. Dennis Dugan
    Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
  • D. Don Dodson
    Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
  • E. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • 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: Bob Longenecker
Triple: [Ruth Hussey, spouse, Bob Longenecker]
Generated description
Bob Longenecker was the husband of American actress Ruth Hussey, known primarily in relation to her life and career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bob Longenecker
Target entity description: Bob Longenecker was the husband of American actress Ruth Hussey, known primarily in relation to her life and career.
  • A. Bill Riling
    Bill Riling is a screenwriter best known for his work on the animated holiday television special "Shrek the Halls."
  • B. Bill Bolling
    Bill Bolling is an American Republican politician who served as the 39th Lieutenant Governor of Virginia from 2006 to 2014.
  • C. Dennis Dugan
    Dennis Dugan is an American film director, actor, and comedian best known for directing numerous Adam Sandler-led comedies such as "Happy Gilmore," "Big Daddy," and "Grown Ups."
  • D. Don Dodson
    Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
  • E. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef88dd1fc8190b6cdabf6c24c2712 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefbea222081908d6e2e1a1d9a0492 completed May 9, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_69fefc1e9a088190820953ad6137b183 completed May 9, 2026, 9:19 a.m.
Created at: April 10, 2026, 3:09 a.m.