Triple
T19888231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Charles Rowan |
E477958
|
entity |
| Predicate | retirementYearFromArmy |
P19195
|
FINISHED |
| Object | 1825 |
—
|
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: 1825 | Statement: [Sir Charles Rowan, retirementYearFromArmy, 1825]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retirementYearFromArmy Context triple: [Sir Charles Rowan, retirementYearFromArmy, 1825]
-
A.
retirementYear
Indicates the specific year in which an entity retires or is officially considered retired.
-
B.
retirementDate
Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
-
C.
hasMilitaryServiceEnd
chosen
Indicates the date or point in time at which an entity’s period of military service concludes.
-
D.
retirementPeriod
Indicates the time span during which an entity is considered to be retired or in retirement status.
-
E.
retiredFromUSMilitary
Indicates that an individual previously served in the United States military and has formally ended their military career or service.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590c1b9c8190abbfaa04b80713b3 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.