Triple
T10856136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Heat of the Night (novel) |
E256272
|
entity |
| Predicate | investigationTarget |
P59454
|
FINISHED |
| Object | murder of a prominent outsider |
—
|
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 prominent outsider | Statement: [In the Heat of the Night (novel), investigationTarget, murder of a prominent outsider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigationTarget Context triple: [In the Heat of the Night (novel), investigationTarget, murder of a prominent outsider]
-
A.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
B.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
C.
investigativeFocus
chosen
Indicates that an entity is the primary subject or target of investigation, inquiry, or detailed scrutiny by another entity.
-
D.
targetOfCrime
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
-
E.
helpsInvestigate
Indicates that one entity assists another entity in carrying out an investigation or inquiry.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7513695ac8190b5812e977a422c37 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.