Triple
T2777126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Leverett |
E61598
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Hudson Leverett
Hudson Leverett is a descendant of John Leverett, a prominent colonial-era governor of the Massachusetts Bay Colony.
|
E296972
|
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: Hudson Leverett | Statement: [John Leverett, child, Hudson Leverett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hudson Leverett Context triple: [John Leverett, child, Hudson Leverett]
-
A.
Daniel Wadsworth
Daniel Wadsworth was a prominent American art patron and philanthropist best known for founding the Wadsworth Atheneum, one of the first public art museums in the United States.
-
B.
Tilghman Ashurst Howard
Tilghman Ashurst Howard was a 19th-century American lawyer, politician, and U.S. congressman from Indiana who also served as a diplomat to Texas.
-
C.
Selden Chapin
Selden Chapin was an American diplomat and career Foreign Service officer who served in several key ambassadorial posts for the United States during the mid-20th century.
-
D.
Conrad Hilton
Conrad Hilton was an American hotelier and businessman best known as the founder of Hilton Hotels.
-
E.
Roswell Hamlin
Roswell Hamlin is an individual notable enough to be recognized as a significant bearer of the surname Hamlin.
- 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: Hudson Leverett Triple: [John Leverett, child, Hudson Leverett]
Generated description
Hudson Leverett is a descendant of John Leverett, a prominent colonial-era governor of the Massachusetts Bay Colony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hudson Leverett Target entity description: Hudson Leverett is a descendant of John Leverett, a prominent colonial-era governor of the Massachusetts Bay Colony.
-
A.
Daniel Wadsworth
Daniel Wadsworth was a prominent American art patron and philanthropist best known for founding the Wadsworth Atheneum, one of the first public art museums in the United States.
-
B.
Tilghman Ashurst Howard
Tilghman Ashurst Howard was a 19th-century American lawyer, politician, and U.S. congressman from Indiana who also served as a diplomat to Texas.
-
C.
Selden Chapin
Selden Chapin was an American diplomat and career Foreign Service officer who served in several key ambassadorial posts for the United States during the mid-20th century.
-
D.
Conrad Hilton
Conrad Hilton was an American hotelier and businessman best known as the founder of Hilton Hotels.
-
E.
Roswell Hamlin
Roswell Hamlin is an individual notable enough to be recognized as a significant bearer of the surname Hamlin.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd82a864819082bd1181a16d5208 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05adf908190bd16bbb6f8ea213a |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc0d32d5881908b80e0bfca5cd873 |
completed | March 10, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc133f8088190bd505db0d0d1d6f7 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 6, 2026, 9:57 p.m.