Triple
T9582098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Nott |
E231196
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nott
Nott is an English surname borne by various notable individuals, including figures in military, political, and cultural history.
|
E808676
|
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: Nott | Statement: [William Nott, familyName, Nott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nott Context triple: [William Nott, familyName, Nott]
-
A.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
B.
Norris
Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
-
C.
Nightingall
Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
-
D.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
E.
Notger
Notger was a 10th-century bishop and prince-bishop of Liège who transformed the city into a major religious, cultural, and political center of the Holy Roman Empire.
- 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: Nott Triple: [William Nott, familyName, Nott]
Generated description
Nott is an English surname borne by various notable individuals, including figures in military, political, and cultural history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nott Target entity description: Nott is an English surname borne by various notable individuals, including figures in military, political, and cultural history.
-
A.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
B.
Norris
Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
-
C.
Nightingall
Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
-
D.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
E.
Notger
Notger was a 10th-century bishop and prince-bishop of Liège who transformed the city into a major religious, cultural, and political center of the Holy Roman Empire.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cd59008190888eb11f00f61994 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1616a11688190ba47343e4fd913fd |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d16360b7708190bc23294f267ac695 |
completed | April 4, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 8:05 p.m.