Triple
T13953260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Fiennes |
E335586
|
entity |
| Predicate | supportedPerson |
P18809
|
FINISHED |
| Object | Sir 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: Sir Ranulph Fiennes | Statement: [Virginia Fiennes, supportedPerson, Sir Ranulph Fiennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Ranulph Fiennes Context triple: [Virginia Fiennes, supportedPerson, Sir Ranulph Fiennes]
-
A.
Sir Ranulph Fiennes
chosen
Sir Ranulph Fiennes is a renowned British explorer and adventurer famed for his polar expeditions and record-breaking endurance feats.
-
B.
Ben Saunders
Ben Saunders is a Dutch singer best known for winning the first season of the television talent show The Voice of Holland.
-
C.
Colin Keith-Johnston
Colin Keith-Johnston was a British stage and film actor active in the early to mid-20th century, known for his distinguished performances in both classical and contemporary roles.
-
D.
John Rothera
John Rothera was a British surveyor and polar explorer after whom the Rothera Research Station in Antarctica is named.
-
E.
Andrew Shepherd
Andrew Shepherd is the fictional widowed U.S. President portrayed by Michael Douglas in the romantic political film "The American President."
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192d09e481909ba3b7522cf661a6 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:17 p.m.