Triple
T25881423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John G. Heyburn II |
E652058
|
entity |
| Predicate | dateOfRetirementFromActiveService |
P7188
|
FINISHED |
| Object | 2014-04-01 |
—
|
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: 2014-04-01 | Statement: [John G. Heyburn II, dateOfRetirementFromActiveService, 2014-04-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfRetirementFromActiveService Context triple: [John G. Heyburn II, dateOfRetirementFromActiveService, 2014-04-01]
-
A.
retirementDate
chosen
Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
-
B.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
C.
retiredFromFrontlineService
Indicates that an entity has ceased active, primary operational duties and is no longer serving in a frontline role.
-
D.
retiredFromUSMilitary
Indicates that an individual previously served in the United States military and has formally ended their military career or service.
-
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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 22, 2026, 8:16 a.m.