Triple
T30492947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Devil’s Foot |
E775918
|
entity |
| Predicate | detectiveMethod |
P169500
|
FINISHED |
| Object | Holmes personally tests the poison in a controlled experiment |
—
|
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: Holmes personally tests the poison in a controlled experiment | Statement: [The Adventure of the Devil’s Foot, detectiveMethod, Holmes personally tests the poison in a controlled experiment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectiveMethod Context triple: [The Adventure of the Devil’s Foot, detectiveMethod, Holmes personally tests the poison in a controlled experiment]
-
A.
detectiveType
Indicates that one entity is classified as a particular type or category of detective in relation to another entity.
-
B.
featuresPrivateDetective
Indicates that the subject includes or involves a private detective as a notable element or character.
-
C.
hasClericalDetective
Indicates that an entity includes or is associated with a detective who is also a member of the clergy.
-
D.
portrayedDetective
Indicates that one entity has played or depicted a detective character in a performance or work.
-
E.
featuresDetectiveDuo
Indicates that the subject involves or centers around a pair of detectives working together as a team.
- 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_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. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:14 p.m.