Triple

T5539069
Position Surface form Disambiguated ID Type / Status
Subject Harleigh Cemetery E145240 entity
Predicate hasNotableBurial P196 FINISHED
Object John H. Jones
John H. Jones was an individual of sufficient local or historical significance to be recognized as a notable burial at Harleigh Cemetery in Camden, New Jersey.
 E548462 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: John H. Jones | Statement: [Harleigh Cemetery, hasNotableBurial, John H. Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John H. Jones
Context triple: [Harleigh Cemetery, hasNotableBurial, John H. Jones]
  • A. James E. Cheek
    James E. Cheek was an American educator and theologian best known for serving as president of Howard University from 1969 to 1989.
  • B. Lewis J. Boies
    Lewis J. Boies was the third husband of Hollywood actress and inventor Hedy Lamarr.
  • C. Richard T. Rives
    Richard T. Rives was a U.S. federal appellate judge known for his influential civil rights decisions during the mid-20th century, particularly in cases challenging racial segregation in the American South.
  • D. Hugh G. Jones
    Hugh G. Jones was an architect known for his role in designing Toronto’s historic Union Station.
  • E. John H. Wilson
    John H. Wilson was a business partner in the Wilson Brothers & Company firm, likely involved in its management and commercial operations.
  • 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: John H. Jones
Triple: [Harleigh Cemetery, hasNotableBurial, John H. Jones]
Generated description
John H. Jones was an individual of sufficient local or historical significance to be recognized as a notable burial at Harleigh Cemetery in Camden, New Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John H. Jones
Target entity description: John H. Jones was an individual of sufficient local or historical significance to be recognized as a notable burial at Harleigh Cemetery in Camden, New Jersey.
  • A. James E. Cheek
    James E. Cheek was an American educator and theologian best known for serving as president of Howard University from 1969 to 1989.
  • B. Lewis J. Boies
    Lewis J. Boies was the third husband of Hollywood actress and inventor Hedy Lamarr.
  • C. Richard T. Rives
    Richard T. Rives was a U.S. federal appellate judge known for his influential civil rights decisions during the mid-20th century, particularly in cases challenging racial segregation in the American South.
  • D. Hugh G. Jones
    Hugh G. Jones was an architect known for his role in designing Toronto’s historic Union Station.
  • E. John H. Wilson
    John H. Wilson was a business partner in the Wilson Brothers & Company firm, likely involved in its management and commercial operations.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb2fe488190808e02ce5aabb2ad completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097b96f708190a40b67e32e4b4b47 completed March 23, 2026, 1:30 a.m.
NEDg Description generation batch_69c09a262e58819098cecb64dba49fc7 completed March 23, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_69c09aa350b88190ae8e6c7bf2ae9361 completed March 23, 2026, 1:42 a.m.
Created at: March 22, 2026, 3:35 p.m.