Triple
T6875212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totleigh Towers |
E158655
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | P. G. Wodehouse |
E4109
|
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: P. G. Wodehouse | Statement: [Totleigh Towers, createdBy, P. G. Wodehouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P. G. Wodehouse Context triple: [Totleigh Towers, createdBy, P. G. Wodehouse]
-
A.
P. G. Wodehouse
chosen
P. G. Wodehouse was an English author celebrated for his witty, farcical comic novels and stories, particularly those featuring Jeeves and Wooster.
-
B.
Jerome K. Jerome
Jerome K. Jerome was an English writer and humorist best known for his comic travelogue "Three Men in a Boat."
-
C.
William Makepeace Thackeray
William Makepeace Thackeray was a 19th-century English novelist best known for his satirical works, particularly the novel "Vanity Fair."
-
D.
Saki
Saki is a prominent town in southwestern Nigeria known as a commercial and agricultural hub within Oyo State.
-
E.
Evelyn Waugh
Evelyn Waugh was a prominent 20th-century English novelist best known for his satirical and stylistically elegant works such as "Brideshead Revisited" and "A Handful of Dust."
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742b66ca08190bed17fa3ab6733ef |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.