Triple
T38502973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Lackey |
E919889
|
entity |
| Predicate | abusePerpetratorRole |
P60350
|
FINISHED |
| Object | Little League baseball coach |
—
|
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: Little League baseball coach | Statement: [Brian Lackey, abusePerpetratorRole, Little League baseball coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abusePerpetratorRole Context triple: [Brian Lackey, abusePerpetratorRole, Little League baseball coach]
-
A.
perpetratorType
Indicates the classification or category of the entity that carried out or is responsible for a harmful, illegal, or otherwise wrongful act.
-
B.
perpetratorStatus
chosen
Indicates the role or condition of an individual in relation to committing or being responsible for a specific harmful or criminal act.
-
C.
perpetratorDescription
Indicates that the subject provides a textual description or characterization of the perpetrator involved in an act or incident.
-
D.
perpetratorInCase
Indicates that an entity is the person or group responsible for committing the offense or wrongdoing in a particular legal or investigative case.
-
E.
usedByPerpetrators
Indicates that something (e.g., a tool, method, or resource) is employed or utilized by perpetrators in carrying out their actions.
- 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.