Triple
T8402945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Medina |
E198419
|
entity |
| Predicate | afterMilitaryCareer |
P40607
|
FINISHED |
| Object | worked in real estate in Wisconsin |
—
|
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: worked in real estate in Wisconsin | Statement: [Ernest Medina, afterMilitaryCareer, worked in real estate in Wisconsin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterMilitaryCareer Context triple: [Ernest Medina, afterMilitaryCareer, worked in real estate in Wisconsin]
-
A.
postMilitaryCareer
chosen
Indicates that one entity’s career or occupation occurs after the completion of their military service.
-
B.
retiredFromFrontlineService
Indicates that an entity has ceased active, primary operational duties and is no longer serving in a frontline role.
-
C.
militaryBackground
Indicates that an entity has prior or current experience, service, or training in a military organization.
-
D.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
E.
hasMilitaryServiceEnd
Indicates the date or point in time at which an entity’s period of military service concludes.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824efa5c81908ce816cdb8e1fcfb |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.