Triple
T4206004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shosha |
E86184
|
entity |
| Predicate | hasAwardConnection |
P53972
|
FINISHED |
| Object | author is Nobel Prize in Literature laureate |
—
|
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: author is Nobel Prize in Literature laureate | Statement: [Shosha, hasAwardConnection, author is Nobel Prize in Literature laureate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardConnection Context triple: [Shosha, hasAwardConnection, author is Nobel Prize in Literature laureate]
-
A.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
B.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
C.
hasAwardLevel
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
-
D.
hasRelativeWithAward
Indicates that one entity has a relative who has received an award.
-
E.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
- F. None of above. chosen
Provenance (4 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af0196716c81908b99193690630a29 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af021828208190beb6d1af367b5a65 |
completed | March 9, 2026, 5:23 p.m. |
Created at: March 9, 2026, 3:49 p.m.