Triple
T19341480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Quantum Mechanics |
E483765
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jun John Sakurai |
—
|
NE NERFINISHED |
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: Jun John Sakurai | Statement: [Advanced Quantum Mechanics, author, Jun John Sakurai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jun John Sakurai Context triple: [Advanced Quantum Mechanics, author, Jun John Sakurai]
-
A.
Jun John Sakurai
chosen
Jun John Sakurai was a prominent Japanese-American theoretical physicist renowned for his influential work in quantum mechanics and particle physics, as well as for authoring widely used graduate-level textbooks.
-
B.
Hitoshi Takagi
Hitoshi Takagi is a Japanese voice actor best known for voicing the character Totoro in Studio Ghibli’s animated film "My Neighbor Totoro."
-
C.
Hitoshi Yamada
Hitoshi Yamada is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
D.
Hitoshi Sugai
Hitoshi Sugai is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
E.
Hitoshi Sato
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185795bc8190a63061ca794c0d67 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.