Triple
T30492933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Devil’s Foot |
E775918
|
entity |
| Predicate | assistantInInvestigation |
P89727
|
FINISHED |
| Object | Dr. John Watson |
—
|
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: Dr. John Watson | Statement: [The Adventure of the Devil’s Foot, assistantInInvestigation, Dr. John Watson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistantInInvestigation Context triple: [The Adventure of the Devil’s Foot, assistantInInvestigation, Dr. John Watson]
-
A.
helpsInvestigate
chosen
Indicates that one entity assists another entity in carrying out an investigation or inquiry.
-
B.
investigatesCase
Indicates that one entity conducts an investigation into a particular case involving events, issues, or individuals.
-
C.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
D.
resultOfInvestigation
Indicates that something (such as a finding, conclusion, or outcome) is produced or determined as the consequence of an investigation.
-
E.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
- F. None of above.
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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68775ebd081908706784fe8f8fdf8 |
completed | May 2, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:14 p.m.