Triple

T2302542
Position Surface form Disambiguated ID Type / Status
Subject W.B. Yeats E51764 entity
Predicate child P120 FINISHED
Object Michael Yeats
Michael Yeats was an Irish barrister and politician, best known as the son of poet W.B. Yeats and for his long service in Seanad Éireann.
 E253998 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: Michael Yeats | Statement: [W.B. Yeats, child, Michael Yeats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Yeats
Context triple: [W.B. Yeats, child, Michael Yeats]
  • A. John Merrill
    John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
  • B. John Merrill
    John Merrill is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
  • C. Michael Ward
    Michael Ward was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • D. John Callaghan
    John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
  • E. Robert Duncan
    Robert Duncan is a television and film composer best known for his atmospheric scores on series such as "Castle" and "Buffy the Vampire Slayer."
  • 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: Michael Yeats
Triple: [W.B. Yeats, child, Michael Yeats]
Generated description
Michael Yeats was an Irish barrister and politician, best known as the son of poet W.B. Yeats and for his long service in Seanad Éireann.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Yeats
Target entity description: Michael Yeats was an Irish barrister and politician, best known as the son of poet W.B. Yeats and for his long service in Seanad Éireann.
  • A. John Merrill
    John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
  • B. John Merrill
    John Merrill is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
  • C. Michael Ward
    Michael Ward was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • D. John Callaghan
    John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
  • E. Robert Duncan
    Robert Duncan is a television and film composer best known for his atmospheric scores on series such as "Castle" and "Buffy the Vampire Slayer."
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5f101dc8190824346e6ae564e51 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f31356c81909c563d88d472e05f completed March 9, 2026, 8:05 a.m.
NEDg Description generation batch_69ae7fd78ee48190990fc7b5034b662b completed March 9, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae80dadf208190913211329a40b4ee completed March 9, 2026, 8:12 a.m.
Created at: March 4, 2026, 7:49 p.m.