Triple
T11912999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Civil Valor |
E283439
|
entity |
| Predicate | typicalRecipientAction |
P60608
|
FINISHED |
| Object | rescuing people in danger |
—
|
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: rescuing people in danger | Statement: [Medal of Civil Valor, typicalRecipientAction, rescuing people in danger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRecipientAction Context triple: [Medal of Civil Valor, typicalRecipientAction, rescuing people in danger]
-
A.
receiverAction
chosen
Indicates that the receiver of something performs or is associated with a specific action in the context of that transfer or interaction.
-
B.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
C.
typicalRecipientPosition
Indicates the usual or expected spatial or organizational position where a recipient is located relative to the action or source.
-
D.
senderAction
Indicates that an entity performs the act of sending something (such as a message, item, or signal) to another entity.
-
E.
notableRecipientType
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.