Triple
T16115293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland v. King |
E390986
|
entity |
| Predicate | comparedArresteeDNATo |
P38936
|
FINISHED |
| Object | DNA profiles in unsolved crime databases |
—
|
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: DNA profiles in unsolved crime databases | Statement: [Maryland v. King, comparedArresteeDNATo, DNA profiles in unsolved crime databases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedArresteeDNATo Context triple: [Maryland v. King, comparedArresteeDNATo, DNA profiles in unsolved crime databases]
-
A.
DNAAnalysis
chosen
Indicates that one entity performs or undergoes the examination and interpretation of DNA from another entity or source.
-
B.
sharesDNAWithHumans
Indicates that one entity possesses genetic material that is evolutionarily related to, and partially identical with, that of humans.
-
C.
associatedWithCrimeRecordOfUser
Indicates a relationship where something is linked to, or derived from, the crime record belonging to a specific user.
-
D.
criminalRecord
Indicates that an entity has a documented history of criminal offenses or convictions recorded by an authority.
-
E.
arrestedAt
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016a9dd48190bca3f58778ed865f |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.