Triple
T15714001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General (United States Army) |
E380911
|
entity |
| Predicate | isFourStarFlagOfficer |
P119888
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [General (United States Army), isFourStarFlagOfficer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFourStarFlagOfficer Context triple: [General (United States Army), isFourStarFlagOfficer, true]
-
A.
isFiveStarOfficerGrade
Indicates that an entity holds a military rank at the five-star officer grade level.
-
B.
isFlagOfficerPosition
Indicates that a position is designated for or held by a flag officer within a military hierarchy.
-
C.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
D.
hasGeneralOfficerRank
Indicates that an entity holds a military rank at the general officer level.
-
E.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:45 a.m.