Triple
T5928366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swallows and Amazons |
E131871
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Arthur Ransome |
E133699
|
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: Arthur Ransome | Statement: [Swallows and Amazons, author, Arthur Ransome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Ransome Context triple: [Swallows and Amazons, author, Arthur Ransome]
-
A.
Arthur Ransome
chosen
Arthur Ransome was an English author and journalist best known for his classic children's adventure series "Swallows and Amazons."
-
B.
Kenneth Grahame
Kenneth Grahame was a British writer best known for his classic children’s novel "The Wind in the Willows," which has inspired numerous adaptations in literature and film.
-
C.
James Norman Hall
James Norman Hall was an American author and World War I veteran best known for co-writing the classic historical novel "Mutiny on the Bounty" and its sequels.
-
D.
Charles Nordhoff
Charles Nordhoff was an American writer best known for co-authoring popular adventure novels set in the South Pacific, including the classic Bounty trilogy.
-
E.
Walter Connolly
Walter Connolly was an American character actor of the 1930s known for his comic and often blustery supporting roles in Hollywood films.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038571d108190b4f3d242c068452f |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c059b08c8190aec3a8ee0119abed |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.