Triple
T20544005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Gideon Fell series |
E504417
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | Hag’s Nook |
—
|
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: Hag’s Nook | Statement: [Dr. Gideon Fell series, hasWork, Hag’s Nook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hag’s Nook Context triple: [Dr. Gideon Fell series, hasWork, Hag’s Nook]
-
A.
Hag’s Nook
chosen
Hag’s Nook is a 1933 locked-room mystery novel by John Dickson Carr that introduces the eccentric detective Dr. Gideon Fell.
-
B.
Griffin's Roost
Griffin's Roost is the ancestral castle of House Connington in the Stormlands of Westeros, overlooking the Sea of Dorne.
-
C.
Witch Hut
A Witch Hut is a small, stilted swamp structure in Minecraft that naturally generates with a witch and often a black cat, serving as a key location for witch farms.
-
D.
Hatter's Castle
Hatter's Castle is a 1931 novel by Scottish author A. J. Cronin that portrays the tragic downfall of a tyrannical Scottish hatter and his family.
-
E.
Raven’s Ait
Raven’s Ait is a small, privately operated island in the River Thames near Kingston upon Thames, commonly used as a venue for events and functions.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2957c308190aab81127f82f8aa6 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.