Triple
T850970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur H. Compton |
E18383
|
entity |
| Predicate | supervisedProject |
P11213
|
FINISHED |
| Object | development of the first nuclear reactors |
—
|
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: development of the first nuclear reactors | Statement: [Arthur H. Compton, supervisedProject, development of the first nuclear reactors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supervisedProject Context triple: [Arthur H. Compton, supervisedProject, development of the first nuclear reactors]
-
A.
majorProject
Indicates that an entity is a primary, large-scale, or most significant project associated with another entity.
-
B.
overseesProject
chosen
Indicates that one entity has responsibility for supervising, managing, or directing the progress and execution of a project involving another entity.
-
C.
eligibleProject
Indicates that a project satisfies the required conditions or criteria to qualify for a particular status, process, or benefit.
-
D.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
E.
supervisedDoctoralResearchOf
Indicates that one entity served as the doctoral research supervisor of another entity.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac215194819099e6bc1b5df58fb3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa81ef348190b067f817574e9efe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.