Triple

T10224225
Position Surface form Disambiguated ID Type / Status
Subject Titus Welliver E242659 entity
Predicate hasRelative P367 FINISHED
Object Neil Welliver
Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
E854465 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: Neil Welliver | Statement: [Titus Welliver, hasRelative, Neil Welliver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Welliver
Context triple: [Titus Welliver, hasRelative, Neil Welliver]
  • A. Justin E. Driscoll
    Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
  • B. Nicholas Fallin
    Nicholas Fallin is the ambitious yet morally conflicted corporate lawyer-turned-child-advocate portrayed by Simon Baker on the television drama "The Guardian."
  • C. Mike Sullivan
    Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
  • D. George Furey
    George Furey is a Canadian politician and lawyer who served as Speaker of the Senate of Canada.
  • E. Michael J. McCulley
    Michael J. McCulley is a former NASA astronaut and U.S. Navy submariner who served as the pilot of the Space Shuttle Atlantis on the STS-34 mission.
  • 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: Neil Welliver
Triple: [Titus Welliver, hasRelative, Neil Welliver]
Generated description
Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neil Welliver
Target entity description: Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • A. Justin E. Driscoll
    Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
  • B. Nicholas Fallin
    Nicholas Fallin is the ambitious yet morally conflicted corporate lawyer-turned-child-advocate portrayed by Simon Baker on the television drama "The Guardian."
  • C. Mike Sullivan
    Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
  • D. George Furey
    George Furey is a Canadian politician and lawyer who served as Speaker of the Senate of Canada.
  • E. Michael J. McCulley
    Michael J. McCulley is a former NASA astronaut and U.S. Navy submariner who served as the pilot of the Space Shuttle Atlantis on the STS-34 mission.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa84a9ac819093d551005a1c8f3d completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d71c8511008190a30008ed32a983d1 completed April 9, 2026, 3:27 a.m.
NEDg Description generation batch_69d71f76e3cc8190b21a5fe8825caa2b completed April 9, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69d7319938ec8190a4a1a5f09832e3e3 completed April 9, 2026, 4:56 a.m.
Created at: April 6, 2026, 11:11 a.m.