Triple
T12345928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punchbowl Cemetery |
E294353
|
entity |
| Predicate | notableBurial |
P196
|
FINISHED |
| Object | Daniel Inouye |
E45544
|
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: Daniel Inouye | Statement: [Punchbowl Cemetery, notableBurial, Daniel Inouye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Inouye Context triple: [Punchbowl Cemetery, notableBurial, Daniel Inouye]
-
A.
Daniel Inouye
chosen
Daniel Inouye was a highly decorated World War II veteran and long-serving U.S. senator from Hawaii who became nationally prominent for his role on the Senate Watergate Committee.
-
B.
Ken Inouye
Ken Inouye is the son of the late U.S. Senator Daniel Inouye and has worked as a music industry executive and political consultant.
-
C.
Mark Inouye
Mark Inouye is an American classical trumpeter best known as the principal trumpet of the San Francisco Symphony.
-
D.
Daniel Akaka
Daniel Akaka was a long-serving U.S. Senator from Hawaii known for his advocacy on Native Hawaiian rights and veterans’ issues.
-
E.
Wayne Morse
Wayne Morse was a long-serving, independent-minded U.S. Senator from Oregon known for his progressive stances and opposition to the Vietnam War.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aac9edc8190ab1740d23af1b250 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.