Triple
T4901595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watership Down |
E109809
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Richard Adams |
E109809
|
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: Richard Adams | Statement: [Watership Down, author, Richard Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Adams Context triple: [Watership Down, author, Richard Adams]
-
A.
Richard Adams
chosen
Richard Adams was an English novelist best known for his classic animal fantasy novel "Watership Down."
-
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.
Charles Foster
Charles Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
-
D.
Walter Farley
Walter Farley was an American author best known for his popular "Black Stallion" series of children's horse novels.
-
E.
Lloyd Alexander
Lloyd Alexander was an American author best known for his fantasy series "The Chronicles of Prydain," which drew on Welsh mythology and inspired the film adaptation "The Black Cauldron."
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e4dd6bc819094b1cbf533510995 |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be779c47348190bd8e19f87c2aa4c2 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:28 p.m.