Triple
T398256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linus Torvalds |
E9220
|
entity |
| Predicate | awardYear_MillenniumTechnologyPrize |
P10958
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Linus Torvalds, awardYear_MillenniumTechnologyPrize, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardYear_MillenniumTechnologyPrize Context triple: [Linus Torvalds, awardYear_MillenniumTechnologyPrize, 2012]
-
A.
typicalNumberOfLaureatesPerYear
Indicates the usual or average number of laureates associated with a given award or context in a single year.
-
B.
NobelPrizeYear
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
-
C.
typicalLaureateType
Indicates the usual or most common type or category of laureate associated with something.
-
D.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
E.
receivedTuringAwardWith
Indicates that two or more entities jointly received the Turing Award in the same year or for the same recognized contribution.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8bcf708190b62e15806159ceb1 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea4545608190898436c72e10f39d |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.