Triple

T16975516
Position Surface form Disambiguated ID Type / Status
Subject Dan E411799 entity
Predicate hasFullName P16 FINISHED
Object Daniel Kean
Daniel Kean is an individual known formally by the given name Daniel and informally as Dan.
E1247210 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: Daniel Kean | Statement: [Dan, hasFullName, Daniel Kean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Kean
Context triple: [Dan, hasFullName, Daniel Kean]
  • A. Daniel Kerr
    Daniel Kerr is a former Australian rules footballer best known for his career with the West Coast Eagles in the AFL.
  • B. Andrew Kean
    Andrew Kean is an individual notable enough to be recognized as a bearer of the surname Kean, though specific widely known public details about him are not clearly established.
  • C. Jason Kingsley
    Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
  • D. Larry Keating
    Larry Keating was an American character actor best known for his roles in mid-20th-century film and television comedies.
  • E. Dominic Kinnear
    Dominic Kinnear is a Scottish-American soccer coach and former player best known for leading the Houston Dynamo to multiple MLS Cup titles in the mid-2000s.
  • 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: Daniel Kean
Triple: [Dan, hasFullName, Daniel Kean]
Generated description
Daniel Kean is an individual known formally by the given name Daniel and informally as Dan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daniel Kean
Target entity description: Daniel Kean is an individual known formally by the given name Daniel and informally as Dan.
  • A. Daniel Kerr
    Daniel Kerr is a former Australian rules footballer best known for his career with the West Coast Eagles in the AFL.
  • B. Andrew Kean
    Andrew Kean is an individual notable enough to be recognized as a bearer of the surname Kean, though specific widely known public details about him are not clearly established.
  • C. Jason Kingsley
    Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
  • D. Larry Keating
    Larry Keating was an American character actor best known for his roles in mid-20th-century film and television comedies.
  • E. Dominic Kinnear
    Dominic Kinnear is a Scottish-American soccer coach and former player best known for leading the Houston Dynamo to multiple MLS Cup titles in the mid-2000s.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18300c8819080c8bf19962754ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232f69308190b4799ffcaaa98eeb completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a0123cc57c08190a570fb0856f999bf completed May 11, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a01244e6d508190ac1441f8da4909c2 completed May 11, 2026, 12:35 a.m.
Created at: April 10, 2026, 5:31 a.m.