Triple
T950538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Ridgway |
E20509
|
entity |
| Predicate | endTimeChiefOfStaffUSArmy |
P21611
|
FINISHED |
| Object | 1955 |
—
|
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: 1955 | Statement: [Matthew Ridgway, endTimeChiefOfStaffUSArmy, 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeChiefOfStaffUSArmy Context triple: [Matthew Ridgway, endTimeChiefOfStaffUSArmy, 1955]
-
A.
chiefOfStaff
Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
-
B.
militaryDirector
Indicates that one entity serves as the military director or chief military authority for another entity.
-
C.
commanderUnitedStates
Indicates that one entity serves as the commander of a United States military or governmental unit, mission, or operation.
-
D.
presidentDuringDefenseSecretaryTenure
Indicates that the subject person was the president of a country during the time period in which the object person served as that country’s defense secretary.
-
E.
endTimeOfPosition_WhiteHouseChiefOfStaff
Indicates the time at which an individual's tenure in the role of White House Chief of Staff ends.
- F. None of above. chosen
Provenance (4 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d62e408190855b2883407f6c6b |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.