Triple
T4409287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowry |
E94810
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bill Lowry
Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
|
E442914
|
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: Bill Lowry | Statement: [Lowry, hasNotableBearer, Bill Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Lowry Context triple: [Lowry, hasNotableBearer, Bill Lowry]
-
A.
Wilson Lowry
Wilson Lowry was a prominent English engraver of the late 18th and early 19th centuries, known for his detailed work on scientific and architectural illustrations.
-
B.
Alan Barlow
Alan Barlow was the husband of British botanist and editor Nora Barlow, granddaughter and biographer of Charles Darwin.
-
C.
Thomas Lownds
Thomas Lownds was an 18th-century London publisher best known for issuing the first edition of Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
-
D.
Martin Lowry
Martin Lowry is a British chemist best known for co-developing the Brønsted–Lowry acid–base theory, which redefined acids and bases in terms of proton transfer.
-
E.
Alan Lowery
Alan Lowery is a film and television producer known for his work on the John Pilger documentary "The War You Don't See."
- 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: Bill Lowry Triple: [Lowry, hasNotableBearer, Bill Lowry]
Generated description
Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Lowry Target entity description: Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
-
A.
Wilson Lowry
Wilson Lowry was a prominent English engraver of the late 18th and early 19th centuries, known for his detailed work on scientific and architectural illustrations.
-
B.
Alan Barlow
Alan Barlow was the husband of British botanist and editor Nora Barlow, granddaughter and biographer of Charles Darwin.
-
C.
Thomas Lownds
Thomas Lownds was an 18th-century London publisher best known for issuing the first edition of Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
-
D.
Martin Lowry
Martin Lowry is a British chemist best known for co-developing the Brønsted–Lowry acid–base theory, which redefined acids and bases in terms of proton transfer.
-
E.
Alan Lowery
Alan Lowery is a film and television producer known for his work on the John Pilger documentary "The War You Don't See."
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3548e24d08190a38c0bcd4b6ad571 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627eb49308190a6830cbc52ad45cf |
completed | March 15, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69b628fe10908190978dd0361628f54f |
completed | March 15, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b629ab52c881909f7fbef6f77b5bc4 |
completed | March 15, 2026, 3:38 a.m. |
Created at: March 12, 2026, 11:28 p.m.