Triple
T12972451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas J. Rusk |
E321434
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rusk |
E578279
|
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: Rusk | Statement: [Thomas J. Rusk, familyName, Rusk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rusk Context triple: [Thomas J. Rusk, familyName, Rusk]
-
A.
Rusk
chosen
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
-
B.
Russaw
Russaw is a surname most notably associated with Joshua Russaw, the son of singer Faith Evans and producer Kiyamma Griffin.
-
C.
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
-
D.
Burúśaski
Burúśaski is a language isolate spoken primarily in northern Pakistan, notable for its unique grammatical structure and lack of proven relation to any other language family.
-
E.
Rasshua
Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:36 p.m.