Triple
T28466517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Federico Leloir |
E720306
|
entity |
| Predicate | NobelPrizeMotivation |
P4388
|
FINISHED |
| Object | for his discovery of sugar nucleotides and their role in the biosynthesis of carbohydrates |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: for his discovery of sugar nucleotides and their role in the biosynthesis of carbohydrates | Statement: [Luis Federico Leloir, NobelPrizeMotivation, for his discovery of sugar nucleotides and their role in the biosynthesis of carbohydrates]
Provenance (2 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64eaa0e90819085e69a97944e9841 |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 28, 2026, 2:45 a.m.