Triple
T10785264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraser |
E254434
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Hugh Fraser |
E792451
|
NE FINISHED |
How this triple was built (2 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: Hugh Fraser | Statement: [Fraser, hasNotableBearer, Hugh Fraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Fraser Context triple: [Fraser, hasNotableBearer, Hugh Fraser]
-
A.
Hugh Fraser
chosen
Hugh Fraser was a Scottish entrepreneur best known for building the House of Fraser department store group into a major British retail chain.
-
B.
Hugh Fraser
Hugh Fraser was a British Conservative politician and long-serving Member of Parliament who held several ministerial posts in the mid-20th century.
-
C.
Richard Chamberlain
Richard Chamberlain is an American actor and singer best known for his leading roles in 1960s television dramas and 1980s miniseries such as "Dr. Kildare," "Shōgun," and "The Thorn Birds."
-
D.
Clive Merrison
Clive Merrison is a Welsh actor known for his extensive work in British film, television, and radio, including his acclaimed portrayal of Sherlock Holmes for BBC Radio.
-
E.
Ian Hay
Ian Hay was a Scottish novelist and playwright, born John Hay Beith, known for his popular humorous and military-themed works and for adapting stories for the stage and screen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d44b488190a9f3ab9b177e737a |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84ddd6f48190a11eae9233d3ef9f |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.