Triple

T7974990
Position Surface form Disambiguated ID Type / Status
Subject Jensen Beach E185420 entity
Predicate namedAfter P63 FINISHED
Object John Laurence Jensen
John Laurence Jensen was a notable figure significant enough to have the community of Jensen Beach in Florida named in his honor.
E703038 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 Laurence Jensen | Statement: [Jensen Beach, namedAfter, John Laurence Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Laurence Jensen
Context triple: [Jensen Beach, namedAfter, John Laurence Jensen]
  • A. August S. Jensen
    August S. Jensen was a mountaineer known for making the first recorded ascent of Gunnbjørn Fjeld, the highest peak in Greenland and the Arctic.
  • B. Johnny E. Jensen
    Johnny E. Jensen is a Danish-born American cinematographer known for his work on numerous films and television productions.
  • C. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • D. Paul Iselin Wellman
    Paul Iselin Wellman was an American journalist, historian, and prolific author best known for his popular novels and nonfiction works about the American West and frontier history.
  • E. George Hansen
    George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
  • 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 Laurence Jensen
Triple: [Jensen Beach, namedAfter, John Laurence Jensen]
Generated description
John Laurence Jensen was a notable figure significant enough to have the community of Jensen Beach in Florida named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Laurence Jensen
Target entity description: John Laurence Jensen was a notable figure significant enough to have the community of Jensen Beach in Florida named in his honor.
  • A. August S. Jensen
    August S. Jensen was a mountaineer known for making the first recorded ascent of Gunnbjørn Fjeld, the highest peak in Greenland and the Arctic.
  • B. Johnny E. Jensen
    Johnny E. Jensen is a Danish-born American cinematographer known for his work on numerous films and television productions.
  • C. Ron Jensen
    Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
  • D. Paul Iselin Wellman
    Paul Iselin Wellman was an American journalist, historian, and prolific author best known for his popular novels and nonfiction works about the American West and frontier history.
  • E. George Hansen
    George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf42a508190bb661fce34ec0151 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0c39e248190a146c1f2fd815f26 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.