Triple

T14879064
Position Surface form Disambiguated ID Type / Status
Subject Elin E349944 entity
Predicate hasNotableBearer P458 FINISHED
Object Elin Hilderbrand
Elin Hilderbrand is a bestselling American author known for her contemporary romance and drama novels often set on Nantucket Island.
E1125326 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: Elin Hilderbrand | Statement: [Elin, hasNotableBearer, Elin Hilderbrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elin Hilderbrand
Context triple: [Elin, hasNotableBearer, Elin Hilderbrand]
  • A. Debbie Shreve
    Debbie Shreve is an American actress and former wife of actor Danny Trejo, known for small roles in films associated with his work.
  • B. Francine Rivers
    Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
  • C. Elizabeth Knapp
    Elizabeth Knapp was the mother of Elizabeth Shaw Melville, who was the wife of American novelist Herman Melville.
  • D. Margot Winspear
    Margot Winspear was a philanthropist known for her support of the arts, particularly through major contributions to cultural institutions in Dallas, Texas.
  • E. Lucinda Riley
    Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
  • 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: Elin Hilderbrand
Triple: [Elin, hasNotableBearer, Elin Hilderbrand]
Generated description
Elin Hilderbrand is a bestselling American author known for her contemporary romance and drama novels often set on Nantucket Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elin Hilderbrand
Target entity description: Elin Hilderbrand is a bestselling American author known for her contemporary romance and drama novels often set on Nantucket Island.
  • A. Debbie Shreve
    Debbie Shreve is an American actress and former wife of actor Danny Trejo, known for small roles in films associated with his work.
  • B. Francine Rivers
    Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
  • C. Elizabeth Knapp
    Elizabeth Knapp was the mother of Elizabeth Shaw Melville, who was the wife of American novelist Herman Melville.
  • D. Margot Winspear
    Margot Winspear was a philanthropist known for her support of the arts, particularly through major contributions to cultural institutions in Dallas, Texas.
  • E. Lucinda Riley
    Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5670108190b41ef95dc318be60 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6d3aa2f08190b02c6157c03a2ba5 completed May 8, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe6db30e9c81908fbad7b932799a7a completed May 8, 2026, 11:11 p.m.
Created at: April 10, 2026, 1:55 a.m.