Triple
T11977919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John G. Kemeny |
E285081
|
entity |
| Predicate | yearOfThreeMileIslandCommissionReport |
P102689
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [John G. Kemeny, yearOfThreeMileIslandCommissionReport, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfThreeMileIslandCommissionReport Context triple: [John G. Kemeny, yearOfThreeMileIslandCommissionReport, 1979]
-
A.
commissioningYearUnit3
Indicates the year in which the third unit of an asset, facility, or system was officially commissioned and put into operation.
-
B.
TRCReportYear
Indicates the specific year in which a Truth and Reconciliation Commission (TRC) report was issued, published, or is associated with.
-
C.
reactor3StatusDuringAccident
Indicates the operational or physical condition of reactor 3 specifically during the time period of an accident.
-
D.
numberOfFuelAssembliesInSpentFuelPoolAtAccident
Indicates the quantity of fuel assemblies that were present in the spent fuel pool at the time of the accident.
-
E.
thirdPartPublicationYear
Indicates the year in which the third part of a multi-part work was published.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d903a8695c8190bfa9d7ca50834f9f |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.