Triple

T21638860
Position Surface form Disambiguated ID Type / Status
Subject Shiva Rose E534033 entity
Predicate hasChild P369 FINISHED
Object Charlotte McDermott
Charlotte McDermott is the daughter of American actress and lifestyle blogger Shiva Rose.
E1495271 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: Charlotte McDermott | Statement: [Shiva Rose, hasChild, Charlotte McDermott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte McDermott
Context triple: [Shiva Rose, hasChild, Charlotte McDermott]
  • A. Anne Mullen
    Anne Mullen is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Mullen.
  • B. Anne McCabe
    Anne McCabe is a film editor known for her work on major feature films and television projects, including the Fred Rogers-inspired drama "A Beautiful Day in the Neighborhood."
  • C. Colleen Barrett
    Colleen Barrett is an American business executive best known for serving as president of Southwest Airlines and for her pioneering, employee-focused leadership style in the airline industry.
  • D. Rosemary Breen
    Rosemary Breen is the sister of Syd Barrett, the influential founding member of the rock band Pink Floyd.
  • E. Ann Christy
    Ann Christy was an American film actress active in the late silent and early sound era, known for her roles in comedies and dramas of the 1920s and early 1930s.
  • 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: Charlotte McDermott
Triple: [Shiva Rose, hasChild, Charlotte McDermott]
Generated description
Charlotte McDermott is the daughter of American actress and lifestyle blogger Shiva Rose.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlotte McDermott
Target entity description: Charlotte McDermott is the daughter of American actress and lifestyle blogger Shiva Rose.
  • A. Anne Mullen
    Anne Mullen is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Mullen.
  • B. Anne McCabe
    Anne McCabe is a film editor known for her work on major feature films and television projects, including the Fred Rogers-inspired drama "A Beautiful Day in the Neighborhood."
  • C. Colleen Barrett
    Colleen Barrett is an American business executive best known for serving as president of Southwest Airlines and for her pioneering, employee-focused leadership style in the airline industry.
  • D. Rosemary Breen
    Rosemary Breen is the sister of Syd Barrett, the influential founding member of the rock band Pink Floyd.
  • E. Ann Christy
    Ann Christy was an American film actress active in the late silent and early sound era, known for her roles in comedies and dramas of the 1920s and early 1930s.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538fb12481908f70ad8dbe1d99e4 completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a158fa09c8190a2669f6741c7c8ee completed May 17, 2026, 7:22 p.m.
NEDg Description generation batch_6a0a164617808190a9dd69ce2c07b36d completed May 17, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0a16b2f7908190a1cf632f504b630f completed May 17, 2026, 7:27 p.m.
Created at: April 16, 2026, 6:35 p.m.