Triple
T2869958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Gatien |
E63534
|
entity |
| Predicate | securityConcerns |
P25437
|
FINISHED |
| Object | his clubs were scrutinized for alleged drug activity and crime |
—
|
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: his clubs were scrutinized for alleged drug activity and crime | Statement: [Peter Gatien, securityConcerns, his clubs were scrutinized for alleged drug activity and crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityConcerns Context triple: [Peter Gatien, securityConcerns, his clubs were scrutinized for alleged drug activity and crime]
-
A.
security
Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
-
B.
hasSecurityConsideration
chosen
Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
-
C.
securityAspect
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
-
D.
securityRecommendation
Indicates that one entity advises or prescribes specific security-related actions, settings, or measures for another entity.
-
E.
securityAssumption
Indicates that a particular condition, behavior, or property is presumed to hold true for security purposes within a system or protocol.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe15ff081908dd1dad62c292b2b |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.