Triple
T5845221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Feller |
E129691
|
entity |
| Predicate | militaryServiceStartYear |
P19194
|
FINISHED |
| Object | 1941 |
—
|
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: 1941 | Statement: [Bob Feller, militaryServiceStartYear, 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryServiceStartYear Context triple: [Bob Feller, militaryServiceStartYear, 1941]
-
A.
militaryServicePeriod
Indicates the span of time during which an entity serves or has served in a military capacity.
-
B.
hasMilitaryServiceStart
chosen
Indicates the date or point in time when an entity’s period of military service began.
-
C.
yearsOfMilitaryService
Indicates the number of years an entity has served or is recorded as serving in the military.
-
D.
placeOfMilitaryService
Indicates the location or institution where a person performed their military service.
-
E.
musteredIntoService
Indicates that an entity has been formally enrolled or assembled into active duty or official service under an authority.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.