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.