Triple
T16175291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Merit |
E392547
|
entity |
| Predicate | isTypicallyAwardedTo |
P96543
|
FINISHED |
| Object | individuals |
—
|
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: individuals | Statement: [Medal of Merit, isTypicallyAwardedTo, individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallyAwardedTo Context triple: [Medal of Merit, isTypicallyAwardedTo, individuals]
-
A.
isOftenAwardedTo
chosen
Indicates that something is frequently given as an award or honor to a particular recipient.
-
B.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
C.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
D.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
E.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21ebab54c81908d82dd6a26c406c2 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.