Triple
T31337060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of Charles Augustus Milverton |
E799202
|
entity |
| Predicate | MilvertonOccupation |
P171256
|
FINISHED |
| Object | professional blackmailer |
—
|
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: professional blackmailer | Statement: [The Adventure of Charles Augustus Milverton, MilvertonOccupation, professional blackmailer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MilvertonOccupation Context triple: [The Adventure of Charles Augustus Milverton, MilvertonOccupation, professional blackmailer]
-
A.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
-
B.
patronOccupation
Indicates that one entity serves as the occupation or professional role held by a patron entity.
-
C.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
D.
roleOfMelvinBenn
Indicates that the specified entity holds or is assigned the role or position associated with Melvin Benn.
-
E.
MorrisBrownOccupation
Indicates that a specified person holds or held a particular occupation or job position at Morris Brown.
- 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f11ba548190b8ad25fafb07b62b |
completed | May 3, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69ea761848190acb31298e65b7892 |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 29, 2026, 9:16 p.m.