Triple
T1698363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Justice |
E36709
|
entity |
| Predicate | authorAwardedNobelPrizeInLiterature |
P25299
|
FINISHED |
| Object | 1901 |
—
|
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: 1901 | Statement: [La Justice, authorAwardedNobelPrizeInLiterature, 1901]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAwardedNobelPrizeInLiterature Context triple: [La Justice, authorAwardedNobelPrizeInLiterature, 1901]
-
A.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
B.
dateAwarded Nobel Prize in Literature
Indicates the specific date on which an entity received the Nobel Prize in Literature.
-
C.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
D.
awardedAuthor
chosen
Indicates that an author has received an award or recognition.
-
E.
notableAwardOfAuthor
Indicates that a particular award is a significant or distinguished honor received by the author.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.