Triple
T3949361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Follett |
E84825
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ken Follett |
E84825
|
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: Ken Follett | Statement: [Ken Follett, name, Ken Follett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Follett Context triple: [Ken Follett, name, Ken Follett]
-
A.
Ken Follett
chosen
Ken Follett is a bestselling Welsh author renowned for his historical and thriller novels, including "The Pillars of the Earth" and "Eye of the Needle."
-
B.
Frederick Forsyth
Frederick Forsyth is a British thriller writer renowned for his meticulously researched, politically charged novels such as "The Day of the Jackal."
-
C.
C.J. Sansom
C.J. Sansom was a British historical crime novelist best known for his bestselling Shardlake series set in Tudor England.
-
D.
Sebastian Faulks
Sebastian Faulks is a British novelist best known for his historical and war-themed fiction, including the acclaimed novel "Birdsong."
-
E.
Jeffrey Archer
Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef910ecc08190a4fca89bcf063e0c |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5339feb4c8190ad96a5680cb5294e |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:30 p.m.