Triple

T34895213
Position Surface form Disambiguated ID Type / Status
Subject They’re Not Your Husband E1006411 entity
Predicate hasMaritalRelationshipBetweenCharacters P64467 FINISHED
Object Earl and Doreen are married
Earl and Doreen are a married couple featured in Raymond Carver’s short story “They’re Not Your Husband.”
 E2116302 NE FINISHED

How this triple was built (3 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: Earl and Doreen are married | Statement: [They’re Not Your Husband, hasMaritalRelationshipBetweenCharacters, Earl and Doreen are married]
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: Earl and Doreen are married
Triple: [They’re Not Your Husband, hasMaritalRelationshipBetweenCharacters, Earl and Doreen are married]
Generated description
Earl and Doreen are a married couple featured in Raymond Carver’s short story “They’re Not Your Husband.”
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMaritalRelationshipBetweenCharacters
Context triple: [They’re Not Your Husband, hasMaritalRelationshipBetweenCharacters, Earl and Doreen are married]
  • A. maritalRelations chosen
    Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
  • B. hasMaritalRelationshipType
    Indicates the specific type or nature of the marital relationship that exists between two entities.
  • C. characterRelativeByMarriage
    Indicates that one character is related to another through marriage rather than by blood.
  • D. characterMaritalHistory
    Indicates a relationship that records the sequence of a character’s past and present marital relationships, including spouses and relevant time periods.
  • E. hasSpouseInStory
    Indicates that one entity is depicted as the spouse of another within the context of a particular story or narrative.
  • F. None of above.

Provenance (6 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_69f76dbfe5788190ad8b64f241f470c8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a01d48f41f4819093a5b47288a073c1 completed May 11, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786e499c48190b53d99239dda6ecf completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378b369f0c819081e97bbd7c86c8f9 completed June 21, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a378bf582fc81908161757a00edd524 completed June 21, 2026, 7 a.m.
PD Predicate disambiguation batch_6a01d3fa278c8190838174dd96ef5dde completed May 11, 2026, 1:04 p.m.
Created at: May 3, 2026, 4 p.m.