Triple

T10103831
Position Surface form Disambiguated ID Type / Status
Subject Ira Aldridge E216266 entity
Predicate spouse P13 FINISHED
Object Margaret Gill
Margaret Gill was the wife of renowned 19th-century African American Shakespearean actor Ira Aldridge.
 E943983 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 Gill | Statement: [Ira Aldridge, spouse, Margaret Gill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Gill
Context triple: [Ira Aldridge, spouse, Margaret Gill]
  • A. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • 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 Crow
    Margaret Crow was an American philanthropist and art patron whose support and legacy are honored through the naming of the Crow Museum of Asian Art.
  • D. Margaret Genn
    Margaret Genn was the wife of British actor and barrister Leo Genn.
  • E. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • 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 Gill
Triple: [Ira Aldridge, spouse, Margaret Gill]
Generated description
Margaret Gill was the wife of renowned 19th-century African American Shakespearean actor Ira Aldridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margaret Gill
Target entity description: Margaret Gill was the wife of renowned 19th-century African American Shakespearean actor Ira Aldridge.
  • A. Margaret Gibson
    Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
  • 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 Crow
    Margaret Crow was an American philanthropist and art patron whose support and legacy are honored through the naming of the Crow Museum of Asian Art.
  • D. Margaret Genn
    Margaret Genn was the wife of British actor and barrister Leo Genn.
  • E. Margaret Cox
    Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09c961081909848acec4438c300 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018324bf88190bcd2bf168b1065d3 completed April 28, 2026, 2:15 a.m.
NEDg Description generation batch_69f01d7ab930819095eaae226ab55b80 completed April 28, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69f043ddbfe481908e0c439dbd3e944f completed April 28, 2026, 5:21 a.m.
Created at: March 30, 2026, 9:03 p.m.