Triple
T5359312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Fermi |
E102979
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fermi |
E88963
|
NE 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: Fermi | Statement: [Laura Fermi, familyName, Fermi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fermi Context triple: [Laura Fermi, familyName, Fermi]
-
A.
Fermi
chosen
Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
-
B.
Leonardo Fermi
Leonardo Fermi is an individual notable primarily for sharing the distinguished Italian surname associated with physicist Enrico Fermi.
-
C.
Fermi 2
Fermi 2 is a boiling water nuclear reactor unit at the Enrico Fermi Nuclear Generating Station in Michigan, used for commercial electricity production.
-
D.
Fermi 1
Fermi 1 was an early experimental fast breeder nuclear reactor located at the Enrico Fermi Nuclear Generating Station in Michigan, notable for a 1966 partial fuel meltdown.
-
E.
Giulio Fermi
Giulio Fermi is the son of renowned Italian-American physicist and Nobel laureate Enrico Fermi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86330e4c8190b5452226886287b3 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e955a8819094a0b12e42e2d6a6 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.