Triple
T29095048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matter and Energy |
E734972
|
entity |
| Predicate | hasAuthorNobelPrizeField |
P37381
|
FINISHED |
| Object | chemistry |
—
|
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: chemistry | Statement: [Matter and Energy, hasAuthorNobelPrizeField, chemistry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorNobelPrizeField Context triple: [Matter and Energy, hasAuthorNobelPrizeField, chemistry]
-
A.
hasAuthorNobelEquivalent
Indicates that the author of the work has received an award considered equivalent in prestige or recognition to a Nobel Prize in their field.
-
B.
hasLaureateField
chosen
Indicates that an entity recognized as a laureate is associated with a particular field or discipline in which the honor was awarded.
-
C.
authorNobelLaureate
Indicates that the author is a recipient of a Nobel Prize.
-
D.
alumnusNobelPrizeField
Indicates that a Nobel Prize–winning alumnus is associated with a specific Nobel Prize field (such as Physics, Chemistry, or Literature).
-
E.
namedForNobelLaureate
Indicates that one entity bears a name derived from or in honor of a Nobel Prize laureate.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 11:08 a.m.