Triple
T31872345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Greek Interpreter |
E813640
|
entity |
| Predicate | MycroftAffiliation |
P172678
|
FINISHED |
| Object | Diogenes Club |
—
|
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: Diogenes Club | Statement: [The Adventure of the Greek Interpreter, MycroftAffiliation, Diogenes Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MycroftAffiliation Context triple: [The Adventure of the Greek Interpreter, MycroftAffiliation, Diogenes Club]
-
A.
relationshipWithSherlock
Indicates that an entity has a specified type of personal or professional relationship with Sherlock.
-
B.
roleInSherlock
Indicates the specific role or character that an entity portrays or holds in the context of the Sherlock series or franchise.
-
C.
relationshipToDrWatson
Indicates the specific personal or professional relationship an entity has with Dr. Watson.
-
D.
relationshipWithEnola
Indicates that an entity has some form of relationship, connection, or association with Enola.
-
E.
intelligenceAgencyHeadquartersOf
Indicates that one entity serves as the main headquarters location for a specified intelligence agency.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b09ee1e88190a04d42b8251eaa13 |
completed | May 3, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:55 p.m.