Triple

T21449230
Position Surface form Disambiguated ID Type / Status
Subject Heather Miller E529163 entity
Predicate relative P37 FINISHED
Object Verna Carson
Verna Carson is an individual known primarily for her familial connection to Heather Miller.
E1491287 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: Verna Carson | Statement: [Heather Miller, relative, Verna Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verna Carson
Context triple: [Heather Miller, relative, Verna Carson]
  • A. Verna Willis
    Verna Willis was an American film editor and script supervisor active during Hollywood’s early studio era.
  • B. Doris Vinyard
    Doris Vinyard is a character in the film "American History X," depicted as the mother of Derek and Danny Vinyard who struggles to hold her family together amid violence and extremist ideology.
  • C. Verna Fields
    Verna Fields was an American film editor best known for her Oscar-winning work on the blockbuster thriller "Jaws" and her influential role in New Hollywood cinema.
  • D. Elaine Baker
    Elaine Baker is known as the wife of acclaimed special makeup effects artist and filmmaker Rick Baker.
  • E. Gladys Green
    Gladys Green is the elderly, increasingly forgetful grandmother at the center of Kenneth Lonergan’s play "The Waverly Gallery," whose decline drives the story’s emotional core.
  • 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: Verna Carson
Triple: [Heather Miller, relative, Verna Carson]
Generated description
Verna Carson is an individual known primarily for her familial connection to Heather Miller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Verna Carson
Target entity description: Verna Carson is an individual known primarily for her familial connection to Heather Miller.
  • A. Verna Willis
    Verna Willis was an American film editor and script supervisor active during Hollywood’s early studio era.
  • B. Doris Vinyard
    Doris Vinyard is a character in the film "American History X," depicted as the mother of Derek and Danny Vinyard who struggles to hold her family together amid violence and extremist ideology.
  • C. Verna Fields
    Verna Fields was an American film editor best known for her Oscar-winning work on the blockbuster thriller "Jaws" and her influential role in New Hollywood cinema.
  • D. Elaine Baker
    Elaine Baker is known as the wife of acclaimed special makeup effects artist and filmmaker Rick Baker.
  • E. Gladys Green
    Gladys Green is the elderly, increasingly forgetful grandmother at the center of Kenneth Lonergan’s play "The Waverly Gallery," whose decline drives the story’s emotional core.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f65fa1308190915373f77c5b19de completed May 17, 2026, 5:09 p.m.
NEDg Description generation batch_6a09f73007048190b9fc03f5d800ba84 completed May 17, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8149a84819085d07e5b1eea463f completed May 17, 2026, 5:17 p.m.
Created at: April 16, 2026, 6:06 p.m.