Triple

T10885019
Position Surface form Disambiguated ID Type / Status
Subject Jason Miller E257018 entity
Predicate spouse P13 FINISHED
Object Ruth Josem
Ruth Josem is a private individual known primarily for being married to Jason Miller.
 E890555 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: Ruth Josem | Statement: [Jason Miller, spouse, Ruth Josem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruth Josem
Context triple: [Jason Miller, spouse, Ruth Josem]
  • A. Ruth Jamison
    Ruth Jamison is a central, compassionate character in the novel and film "Fried Green Tomatoes," known for her deep friendship with Idgie Threadgoode and her role in the story’s themes of love, resilience, and female solidarity.
  • B. Ruth Lay
    Ruth Lay was the mother of former Enron CEO Kenneth Lay and a member of the family from which he emerged.
  • C. Ruth Rose
    Ruth Rose was an American screenwriter best known for co-writing the classic 1933 monster film "King Kong."
  • D. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • E. Ruth Toma
    Ruth Toma is a screenwriter known for her work on the German film "Comedian Harmonists" and other notable European cinema projects.
  • 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: Ruth Josem
Triple: [Jason Miller, spouse, Ruth Josem]
Generated description
Ruth Josem is a private individual known primarily for being married to Jason Miller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruth Josem
Target entity description: Ruth Josem is a private individual known primarily for being married to Jason Miller.
  • A. Ruth Jamison
    Ruth Jamison is a central, compassionate character in the novel and film "Fried Green Tomatoes," known for her deep friendship with Idgie Threadgoode and her role in the story’s themes of love, resilience, and female solidarity.
  • B. Ruth Lay
    Ruth Lay was the mother of former Enron CEO Kenneth Lay and a member of the family from which he emerged.
  • C. Ruth Rose
    Ruth Rose was an American screenwriter best known for co-writing the classic 1933 monster film "King Kong."
  • D. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • E. Ruth Toma
    Ruth Toma is a screenwriter known for her work on the German film "Comedian Harmonists" and other notable European cinema projects.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.