Triple
T2561834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl at the Lion d'Or |
E57256
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Hutchinson |
E278241
|
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: Hutchinson | Statement: [The Girl at the Lion d'Or, publisher, Hutchinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hutchinson Context triple: [The Girl at the Lion d'Or, publisher, Hutchinson]
-
A.
Hutchinson
Hutchinson is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Hutchinson
chosen
Hutchinson is a long-established British publishing house known for producing a wide range of fiction and non-fiction titles.
-
C.
Horton, Missouri
Horton, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
-
D.
Shattuck, Oklahoma
Shattuck, Oklahoma is a small town in northwestern Oklahoma known for its rural character and historic windmill park.
-
E.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd336183c819084ed7de8ccc4c548 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf3f4c2c8190b9e91b30068bb1c5 |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:48 p.m.