Triple
T2715908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Intelligence Distinguished Service Medal |
E59965
|
entity |
| Predicate | intendedRecipients |
P485
|
FINISHED |
| Object | senior leaders |
—
|
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: senior leaders | Statement: [National Intelligence Distinguished Service Medal, intendedRecipients, senior leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedRecipients Context triple: [National Intelligence Distinguished Service Medal, intendedRecipients, senior leaders]
-
A.
scopeOfRecipients
chosen
Indicates the range or group of recipients to whom something (such as information, communication, or benefits) is directed or applicable.
-
B.
recipientsMayUse
Indicates that recipients are permitted to use something (e.g., content, data, or resources) under specified conditions.
-
C.
totalRecipients
Indicates the total number of distinct entities that receive something in the context of the described relationship or action.
-
D.
locationOfRecipients
Indicates the place or geographic area where the intended recipients of something are situated.
-
E.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda94d3288190bd60bc886e2106c7 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.