Triple
T7737802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiennes |
E175427
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ranulph Fiennes |
E64081
|
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: Ranulph Fiennes | Statement: [Fiennes, hasNotableBearer, Ranulph Fiennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranulph Fiennes Context triple: [Fiennes, hasNotableBearer, Ranulph Fiennes]
-
A.
Rowland Leigh
Rowland Leigh was a British screenwriter and lyricist active in the early to mid-20th century, known for his work on Hollywood films and stage musicals.
-
B.
Jacob Fiennes
Jacob Fiennes is a member of the Fiennes family, known as a relative of English actor Joseph Fiennes.
-
C.
Sir Ranulph Fiennes
chosen
Sir Ranulph Fiennes is a renowned British explorer and adventurer famed for his polar expeditions and record-breaking endurance feats.
-
D.
John Radcliffe
John Radcliffe was an influential 17th-century English physician and royal doctor whose wealth funded several major buildings at the University of Oxford.
-
E.
Sam Troughton
Sam Troughton is a British actor known for his work in television, film, and theatre, including a prominent role in the BBC drama series "Robin Hood."
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035a97688190bf93efeee2e365ec |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3958ac8190a48ba07bd8ea3251 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:07 p.m.