Triple

T19169486
Position Surface form Disambiguated ID Type / Status
Subject Taste the Blood of Dracula E469278 entity
Predicate castMember P1668 FINISHED
Object Linda Hayden
Linda Hayden is a British actress best known for her roles in 1960s and 1970s horror and exploitation films.
E1361566 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: Linda Hayden | Statement: [Taste the Blood of Dracula, castMember, Linda Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Hayden
Context triple: [Taste the Blood of Dracula, castMember, Linda Hayden]
  • A. Linda Kay Cooper
    Linda Kay Cooper is known as a former spouse of James William Johnson.
  • B. Marcia Mitchell
    Marcia Mitchell is an author known for writing the nonfiction book that inspired the film "Official Secrets," focusing on real-life intelligence and whistleblowing.
  • C. Mary Ellen Smoot
    Mary Ellen Smoot is an American religious leader best known for serving as the twelfth general president of the Relief Society of The Church of Jesus Christ of Latter-day Saints from 1997 to 2002.
  • D. Marcia Roy
    Marcia Roy is a central character in the television series "Succession," known as Logan Roy’s poised, enigmatic, and fiercely protective third wife.
  • E. Linda McDonough
    Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
  • 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: Linda Hayden
Triple: [Taste the Blood of Dracula, castMember, Linda Hayden]
Generated description
Linda Hayden is a British actress best known for her roles in 1960s and 1970s horror and exploitation films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linda Hayden
Target entity description: Linda Hayden is a British actress best known for her roles in 1960s and 1970s horror and exploitation films.
  • A. Linda Kay Cooper
    Linda Kay Cooper is known as a former spouse of James William Johnson.
  • B. Marcia Mitchell
    Marcia Mitchell is an author known for writing the nonfiction book that inspired the film "Official Secrets," focusing on real-life intelligence and whistleblowing.
  • C. Mary Ellen Smoot
    Mary Ellen Smoot is an American religious leader best known for serving as the twelfth general president of the Relief Society of The Church of Jesus Christ of Latter-day Saints from 1997 to 2002.
  • D. Marcia Roy
    Marcia Roy is a central character in the television series "Succession," known as Logan Roy’s poised, enigmatic, and fiercely protective third wife.
  • E. Linda McDonough
    Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f162ac648190a5f60c6a77b68304 completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f2639f188190aa87c1b31b5dcb7b completed May 15, 2026, 10:16 a.m.
NEDg Description generation batch_6a06f338f504819081daeef10e629afd completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4199a588190943d3d45536a228c completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.