Triple
T20101432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Kavanagh |
E496550
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | John Lanchester |
—
|
NE NERFINISHED |
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: John Lanchester | Statement: [Pat Kavanagh, hasClient, John Lanchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Lanchester Context triple: [Pat Kavanagh, hasClient, John Lanchester]
-
A.
John Lanchester
chosen
John Lanchester is a British writer and journalist known for his novels, essays, and commentary on economics and contemporary society.
-
B.
Jonathan Coe
Jonathan Coe is a British novelist and satirist best known for works such as "What a Carve Up!" and "The Rotters' Club," which often blend political commentary with dark humor.
-
C.
Martin Sixsmith
Martin Sixsmith is a British journalist, author, and former BBC correspondent known for his investigative writing, including the book that inspired the film "Philomena."
-
D.
Matthew Kneale
Matthew Kneale is a British novelist and travel writer best known for his award-winning historical novel "English Passengers."
-
E.
Will Self
Will Self is a British novelist, journalist, and broadcaster known for his darkly satirical and experimental fiction as well as his distinctive media presence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.