Triple

T17606330
Position Surface form Disambiguated ID Type / Status
Subject Francis "King" Clancy E428840 entity
Predicate givenName P17 FINISHED
Object Francis
Francis "King" Clancy was a Canadian professional ice hockey player and coach who became a Hall of Famer and a legendary figure for the Toronto Maple Leafs.
E428840 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: Francis | Statement: [Francis "King" Clancy, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Francis "King" Clancy, givenName, Francis]
  • A. Francis
    Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
  • B. Francis
    Francis is a person known primarily through their association as a friend of Heimlich.
  • C. Francis
    Francis is the middle name of American motion picture and television pioneer Charles Francis Jenkins.
  • D. Francis
    Francis is the middle name of the English architect John Francis Bentley, best known for designing Westminster Cathedral in London.
  • E. Francis
    Francis is the given name of Sir Francis Walsingham, the principal secretary and spymaster to Queen Elizabeth I of England.
  • 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: Francis
Triple: [Francis "King" Clancy, givenName, Francis]
Generated description
Francis "King" Clancy was a Canadian professional ice hockey player and coach who became a Hall of Famer and a legendary figure for the Toronto Maple Leafs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis "King" Clancy was a Canadian professional ice hockey player and coach who became a Hall of Famer and a legendary figure for the Toronto Maple Leafs.
  • A. Francis chosen
    Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
  • B. Francis
    Francis is the formal given name of Frank Nighbor, a famed early 20th-century Canadian ice hockey player and Hall of Famer.
  • C. Francis
    Francis is the given first name of Frank J. Selke, a prominent Canadian ice hockey executive.
  • D. Francis
    Francis is the given name of Frank Pakenham, 7th Earl of Longford, a prominent British Labour politician, social reformer, and Roman Catholic intellectual.
  • E. Francis
    Francis is the given name of Frank Sheeran, the American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
  • F. None of above.

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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4c06a88190a0be2dec3d6056c4 completed April 19, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e8201678819094fc43c1fcde7203 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01ecfb2ff4819082f67ab1f2ce8885 completed May 11, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01ee0c03e881908aaaa3bd0f596387 completed May 11, 2026, 2:56 p.m.
Created at: April 10, 2026, 5:51 a.m.