Triple
T908259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellogg–Briand Pact |
E19598
|
entity |
| Predicate | awardedRelatedHonor |
P219
|
FINISHED |
| Object | Nobel Peace Prize 1929 to Frank B. Kellogg |
—
|
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: Nobel Peace Prize 1929 to Frank B. Kellogg | Statement: [Kellogg–Briand Pact, awardedRelatedHonor, Nobel Peace Prize 1929 to Frank B. Kellogg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedRelatedHonor Context triple: [Kellogg–Briand Pact, awardedRelatedHonor, Nobel Peace Prize 1929 to Frank B. Kellogg]
-
A.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
B.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
includesHonoraryAwardsFor
Indicates that one entity contains or lists honorary awards that have been granted to 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.