Triple
T3287701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unser |
E69021
|
entity |
| Predicate | isRetiredLawEnforcement |
P2089
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Unser, isRetiredLawEnforcement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRetiredLawEnforcement Context triple: [Unser, isRetiredLawEnforcement, true]
-
A.
retiredFromFrontlineService
Indicates that an entity has ceased active, primary operational duties and is no longer serving in a frontline role.
-
B.
retiredBy
Indicates that one entity has formally ended the active status, use, or service of another entity.
-
C.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
D.
retired
chosen
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
E.
retiredTo
Indicates that an entity has permanently left active service or work and taken up residence or status in a particular place or role as their retirement destination.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb058e00881908fdf0a23208860d4 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.