Triple
T9458280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Handyside |
E228073
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Handyside
Handyside is a surname of English and Scottish origin borne by various notable individuals across fields such as engineering, law, and the arts.
|
E801334
|
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: Handyside | Statement: [William Handyside, hasFamilyName, Handyside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handyside Context triple: [William Handyside, hasFamilyName, Handyside]
-
A.
Longside
Longside is a small village in the Buchan area of Aberdeenshire in northeast Scotland.
-
B.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
C.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
D.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
E.
Hailwood
Hailwood is the surname of legendary British motorcycle racer Mike Hailwood, widely regarded as one of the greatest riders in the history of the sport.
- 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: Handyside Triple: [William Handyside, hasFamilyName, Handyside]
Generated description
Handyside is a surname of English and Scottish origin borne by various notable individuals across fields such as engineering, law, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Handyside Target entity description: Handyside is a surname of English and Scottish origin borne by various notable individuals across fields such as engineering, law, and the arts.
-
A.
Longside
Longside is a small village in the Buchan area of Aberdeenshire in northeast Scotland.
-
B.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
C.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
D.
Yates
Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
-
E.
Hailwood
Hailwood is the surname of legendary British motorcycle racer Mike Hailwood, widely regarded as one of the greatest riders in the history of the sport.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f924f3081909dd937cbe6802881 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1228d7a488190b537db256f386786 |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d12395841c8190857de8a50ab6345c |
completed | April 4, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1275bcbd88190a5742a9cf802425a |
completed | April 4, 2026, 2:59 p.m. |
Created at: March 30, 2026, 7:52 p.m.