Triple
T38624678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Breda family axe murders |
E936972
|
entity |
| Predicate | forensicEvidence |
P103061
|
FINISHED |
| Object | bloodstain pattern analysis |
—
|
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: bloodstain pattern analysis | Statement: [Van Breda family axe murders, forensicEvidence, bloodstain pattern analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forensicEvidence Context triple: [Van Breda family axe murders, forensicEvidence, bloodstain pattern analysis]
-
A.
hasForensicElement
chosen
Indicates that something includes, involves, or is characterized by a forensic component, aspect, or feature.
-
B.
evidenceHandling
Indicates how evidence is collected, processed, stored, and transferred within an investigation or legal context.
-
C.
presentsEvidenceTo
Indicates that one entity formally provides or shows evidence to another entity, typically to support a claim, argument, or decision.
-
D.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
E.
usedForensicScienceInFiction
Indicates that forensic science is employed as a plot element or investigative method within a fictional work.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.