Triple

T11235494
Position Surface form Disambiguated ID Type / Status
Subject Sharon Tate E265930 entity
Predicate sibling P363 FINISHED
Object Patricia Tate
Patricia Tate was an American actress and the younger sister of murdered film star Sharon Tate, known for her efforts to preserve her sister’s legacy.
E921132 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: Patricia Tate | Statement: [Sharon Tate, sibling, Patricia Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Tate
Context triple: [Sharon Tate, sibling, Patricia Tate]
  • A. Patricia Tuckwell
    Patricia Tuckwell was an Australian-born violinist and fashion model who became Countess of Harewood through her marriage to George Lascelles, 7th Earl of Harewood.
  • B. Patricia Liddell
    Patricia Liddell is the daughter of Australian wireless pioneer and radio engineer Florence Violet McKenzie.
  • C. Patricia Lovell
    Patricia Lovell was an influential Australian film producer best known for championing landmark Australian cinema during the 1970s and 1980s.
  • D. Patricia Gaul
    Patricia Gaul is an American character actress known for her supporting roles in films such as "The Big Chill," "Silverado," and "Road Trip."
  • E. Patricia Dainton
    Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
  • 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: Patricia Tate
Triple: [Sharon Tate, sibling, Patricia Tate]
Generated description
Patricia Tate was an American actress and the younger sister of murdered film star Sharon Tate, known for her efforts to preserve her sister’s legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patricia Tate
Target entity description: Patricia Tate was an American actress and the younger sister of murdered film star Sharon Tate, known for her efforts to preserve her sister’s legacy.
  • A. Patricia Tuckwell
    Patricia Tuckwell was an Australian-born violinist and fashion model who became Countess of Harewood through her marriage to George Lascelles, 7th Earl of Harewood.
  • B. Patricia Liddell
    Patricia Liddell is the daughter of Australian wireless pioneer and radio engineer Florence Violet McKenzie.
  • C. Patricia Lovell
    Patricia Lovell was an influential Australian film producer best known for championing landmark Australian cinema during the 1970s and 1980s.
  • D. Patricia Gaul
    Patricia Gaul is an American character actress known for her supporting roles in films such as "The Big Chill," "Silverado," and "Road Trip."
  • E. Patricia Dainton
    Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55630478c8190aeee4cc219209ccb completed April 19, 2026, 10:24 p.m.
NEDg Description generation batch_69e562bb085c8190942766d12d838798 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e569f0e6948190b285ca84aca03771 completed April 19, 2026, 11:49 p.m.
Created at: April 8, 2026, 9:30 p.m.