Triple

T2322687
Position Surface form Disambiguated ID Type / Status
Subject Tabitha King E48215 entity
Predicate sibling P363 FINISHED
Object Stephanie Spruce
Stephanie Spruce is a member of the King family and the sister of American author Tabitha King.
E276177 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: Stephanie Spruce | Statement: [Tabitha King, sibling, Stephanie Spruce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephanie Spruce
Context triple: [Tabitha King, sibling, Stephanie Spruce]
  • A. Carol Stevens
    Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
  • B. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • C. Katherine Lester
    Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
  • D. Juliana Raymond
    Juliana Raymond is a daughter of 19th-century American journalist and politician Henry Jarvis Raymond, co-founder of The New York Times.
  • E. Pamela Frank
    Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
  • 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: Stephanie Spruce
Triple: [Tabitha King, sibling, Stephanie Spruce]
Generated description
Stephanie Spruce is a member of the King family and the sister of American author Tabitha King.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stephanie Spruce
Target entity description: Stephanie Spruce is a member of the King family and the sister of American author Tabitha King.
  • A. Carol Stevens
    Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
  • B. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • C. Katherine Lester
    Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
  • D. Juliana Raymond
    Juliana Raymond is a daughter of 19th-century American journalist and politician Henry Jarvis Raymond, co-founder of The New York Times.
  • E. Pamela Frank
    Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cc87e3c8190832d6812a4282ed7 completed March 9, 2026, 11:50 p.m.
NEDg Description generation batch_69af5d362614819095ea9d74851d0b72 completed March 9, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69af5d9f5f608190b6e4c216a0c08bfd completed March 9, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:49 p.m.