Triple

T13344339
Position Surface form Disambiguated ID Type / Status
Subject Dana Elcar E317909 entity
Predicate spouse P13 FINISHED
Object Marilyn Shank
Marilyn Shank is known as the former spouse of American character actor Dana Elcar, recognized for his work in film and television.
E1256683 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: Marilyn Shank | Statement: [Dana Elcar, spouse, Marilyn Shank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marilyn Shank
Context triple: [Dana Elcar, spouse, Marilyn Shank]
  • A. Marilyn Johnson
    Marilyn Johnson was the wife of American actor Forrest Tucker, known for her marriage to the film and television star.
  • B. Marilyn Rowe
    Marilyn Rowe is a distinguished Australian ballerina and former principal dancer renowned for her long and influential career with The Australian Ballet.
  • C. Sherry Nelson
    Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
  • D. Marilyn Fix
    Marilyn Fix is the daughter of American character actor Paul Fix, known for his extensive work in Western films and television.
  • E. Sherry Marsh
    Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
  • 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: Marilyn Shank
Triple: [Dana Elcar, spouse, Marilyn Shank]
Generated description
Marilyn Shank is known as the former spouse of American character actor Dana Elcar, recognized for his work in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marilyn Shank
Target entity description: Marilyn Shank is known as the former spouse of American character actor Dana Elcar, recognized for his work in film and television.
  • A. Marilyn Johnson
    Marilyn Johnson was the wife of American actor Forrest Tucker, known for her marriage to the film and television star.
  • B. Marilyn Rowe
    Marilyn Rowe is a distinguished Australian ballerina and former principal dancer renowned for her long and influential career with The Australian Ballet.
  • C. Sherry Nelson
    Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
  • D. Marilyn Fix
    Marilyn Fix is the daughter of American character actor Paul Fix, known for his extensive work in Western films and television.
  • E. Sherry Marsh
    Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
NEDg Description generation batch_6a0161b31540819098aa6275f96433ad completed May 11, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a016299d9ac8190be74d5db0d28ea36 completed May 11, 2026, 5:01 a.m.
Created at: April 9, 2026, 9:31 p.m.