Triple
T6273671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General of the Armies of the United States |
E140599
|
entity |
| Predicate | confersSeniorityOver |
P1616
|
FINISHED |
| Object | all other Army officers |
—
|
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: all other Army officers | Statement: [General of the Armies of the United States, confersSeniorityOver, all other Army officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersSeniorityOver Context triple: [General of the Armies of the United States, confersSeniorityOver, all other Army officers]
-
A.
confersPrecedenceIn
chosen
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
B.
hasPermanentSeniority
Indicates that one entity holds a fixed, enduring precedence or higher rank over another that does not change over time.
-
C.
seniorRank
Indicates that one entity holds a higher or more senior rank or position than another entity.
-
D.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
E.
indicatesAuthorityOver
Indicates that one entity holds recognized power, control, or decision-making authority over another entity.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063be5a148190a8752426d2d220f8 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.