Triple
T29766045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twisted Thing |
E753909
|
entity |
| Predicate | featuresInvestigationType |
P11082
|
FINISHED |
| Object | crime investigation |
—
|
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: crime investigation | Statement: [The Twisted Thing, featuresInvestigationType, crime investigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresInvestigationType Context triple: [The Twisted Thing, featuresInvestigationType, crime investigation]
-
A.
featuresInvestigationOf
Indicates that something includes or presents an examination, inquiry, or analysis focused on a particular subject or issue.
-
B.
typeOfInvestigation
chosen
Indicates the specific kind or category of investigation being conducted or referred to in the relationship.
-
C.
featureTypeCatalog
Indicates that an entity is associated with, or defined by, a catalog that specifies the types of features it can include or reference.
-
D.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
E.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
Created at: April 28, 2026, 8:38 p.m.