Triple
T4620662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Order 11494 |
E100971
|
entity |
| Predicate | awardRank |
P17372
|
FINISHED |
| Object | one of the highest civilian honors in the United States |
—
|
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: one of the highest civilian honors in the United States | Statement: [Executive Order 11494, awardRank, one of the highest civilian honors in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRank Context triple: [Executive Order 11494, awardRank, one of the highest civilian honors in the United States]
-
A.
awardOrRanking
chosen
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
B.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
C.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
-
D.
awardSystem
Indicates a relationship where an entity establishes or uses a structured scheme for granting awards, honors, or recognitions to others.
-
E.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e560f481908abb1a97b4ff5795 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.