Triple
T31737632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Crooked Man |
E810046
|
entity |
| Predicate | HolmesStoryType |
P176044
|
FINISHED |
| Object | non-murder case |
—
|
LITERAL 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: non-murder case | Statement: [The Adventure of the Crooked Man, HolmesStoryType, non-murder case]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HolmesStoryType Context triple: [The Adventure of the Crooked Man, HolmesStoryType, non-murder case]
-
A.
workInSherlockHolmesCanon
Indicates that an entity is a work (e.g., story, novel, adaptation) that belongs to or is part of the Sherlock Holmes canon.
-
B.
HolmesViewOfMilverton
Indicates that Holmes holds a particular opinion, judgment, or evaluative perspective about Milverton.
-
C.
historicalMystery
Indicates that the relationship or event involves an unresolved or obscure aspect of the past whose causes, details, or outcomes remain unknown or debated.
-
D.
fictionalDetective
Indicates that the subject is a detective character who exists only in fiction rather than in real life.
-
E.
numberInHolmesNovels
Indicates that a given number is the count of occurrences or instances of something within the set of Holmes novels.
- F. None of above. chosen
Provenance (4 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: April 30, 2026, 11:23 p.m.