Triple
T31706042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Reigate Squire |
E809182
|
entity |
| Predicate | investigatedCrime |
P63358
|
FINISHED |
| Object | murder of a coachman |
—
|
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: murder of a coachman | Statement: [The Adventure of the Reigate Squire, investigatedCrime, murder of a coachman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigatedCrime Context triple: [The Adventure of the Reigate Squire, investigatedCrime, murder of a coachman]
-
A.
investigatesCase
Indicates that one entity conducts an investigation into a particular case involving events, issues, or individuals.
-
B.
featuresMurderInvestigation
Indicates that the subject involves or includes a murder investigation as a central element or storyline.
-
C.
hasCrimeInvestigation
chosen
Indicates that an entity is the subject of, or associated with, a formal investigation into a crime.
-
D.
portraysInvestigationOf
Indicates that one entity depicts, represents, or illustrates the process, details, or conduct of an investigation concerning another entity.
-
E.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:13 p.m.