Triple
T12927093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adso of Melk |
E309270
|
entity |
| Predicate | roleInInvestigation |
P107060
|
FINISHED |
| Object | assistant to William of Baskerville |
—
|
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: assistant to William of Baskerville | Statement: [Adso of Melk, roleInInvestigation, assistant to William of Baskerville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInInvestigation Context triple: [Adso of Melk, roleInInvestigation, assistant to William of Baskerville]
-
A.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
B.
roleInSherlock
Indicates the specific role or character that an entity portrays or holds in the context of the Sherlock series or franchise.
-
C.
legalCaseRole
Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
-
D.
roleInMurderOnTheOrientExpress
Indicates the specific involvement or function an entity has within the context of the murder case in "Murder on the Orient Express."
-
E.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d970f6f5748190ad35aff801db53d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 9, 2026, 5:42 p.m.