Triple
T950537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Ridgway |
E20509
|
entity |
| Predicate | startTimeChiefOfStaffUSArmy |
P21610
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [Matthew Ridgway, startTimeChiefOfStaffUSArmy, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeChiefOfStaffUSArmy Context triple: [Matthew Ridgway, startTimeChiefOfStaffUSArmy, 1953]
-
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.
hasColonelInChief
Indicates that an organization or military unit has a designated ceremonial leader holding the title of Colonel-in-Chief.
-
E.
startTimeOfPosition_WhiteHouseChiefOfStaff
Indicates the point in time when an individual begins serving in the role of White House Chief of Staff.
- 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.