Triple
T59316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN Messenger of Peace |
E1174
|
entity |
| Predicate | distinctionFrom |
P1612
|
FINISHED |
| Object | UN Goodwill Ambassador program is usually agency-specific |
—
|
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: UN Goodwill Ambassador program is usually agency-specific | Statement: [UN Messenger of Peace, distinctionFrom, UN Goodwill Ambassador program is usually agency-specific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFrom Context triple: [UN Messenger of Peace, distinctionFrom, UN Goodwill Ambassador program is usually agency-specific]
-
A.
uniformDistinction
Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
-
B.
isDistinctFrom
chosen
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
C.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
D.
independenceFrom
Indicates that one entity is not controlled, governed, or significantly influenced by another entity.
-
E.
derogatesFrom
Indicates that one entity diminishes, belittles, or detracts from the value, reputation, or importance of 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.