Triple

T11680544
Position Surface form Disambiguated ID Type / Status
Subject American Heart E277602 entity
Predicate castMember P1668 FINISHED
Object Margaret Welsh
Margaret Welsh is an American actress known for her work in film, television, and theater.
E1105693 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: Margaret Welsh | Statement: [American Heart, castMember, Margaret Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Welsh
Context triple: [American Heart, castMember, Margaret Welsh]
  • A. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • B. Margaret Whigham
    Margaret Whigham, later known as Margaret, Duchess of Argyll, was a prominent British socialite whose glamorous lifestyle and highly publicized divorce scandal made her one of the most notorious figures of mid-20th-century high society.
  • C. Margaret Gill
    Margaret Gill was the wife of renowned 19th-century African American Shakespearean actor Ira Aldridge.
  • D. Margaret Drinnan
    Margaret Drinnan was the wife of 19th-century Scottish golf champion Young Tom Morris.
  • E. Margaret Wilson
    Margaret Wilson was a young Scottish Covenanter martyr famously executed by drowning in 1685 for refusing to renounce her Presbyterian faith during the period known as the Killing Times.
  • 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: Margaret Welsh
Triple: [American Heart, castMember, Margaret Welsh]
Generated description
Margaret Welsh is an American actress known for her work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaret Welsh
Target entity description: Margaret Welsh is an American actress known for her work in film, television, and theater.
  • A. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • B. Margaret Whigham
    Margaret Whigham, later known as Margaret, Duchess of Argyll, was a prominent British socialite whose glamorous lifestyle and highly publicized divorce scandal made her one of the most notorious figures of mid-20th-century high society.
  • C. Margaret Gill
    Margaret Gill was the wife of renowned 19th-century African American Shakespearean actor Ira Aldridge.
  • D. Margaret Drinnan
    Margaret Drinnan was the wife of 19th-century Scottish golf champion Young Tom Morris.
  • E. Margaret Wilson
    Margaret Wilson was a young Scottish Covenanter martyr famously executed by drowning in 1685 for refusing to renounce her Presbyterian faith during the period known as the Killing Times.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9a12008190a86d8e11bf86d536 completed May 8, 2026, 7:02 a.m.
NEDg Description generation batch_69fd8bf77e08819080d7df36e4897b61 completed May 8, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd8c8859b08190857db55e36f2a11a completed May 8, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:40 p.m.