Triple
T5993539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Kane |
E133409
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Kane |
E133409
|
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: Robert Kane | Statement: [Robert Kane, name, Robert Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Kane Context triple: [Robert Kane, name, Robert Kane]
-
A.
Robert Kane
chosen
Robert Kane was a prominent 19th-century Irish chemist and educator known for his influential work in industrial chemistry and his role in advancing scientific education in Ireland.
-
B.
Joseph Kane
Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
-
C.
Edward Reeves
Edward Reeves was a teacher and mentor known for instructing Lionel Logue, the Australian speech therapist famous for treating King George VI.
-
D.
William Davidson Niven
William Davidson Niven was a Scottish mathematician and physicist known for his editorial work on major scientific texts and his contributions to mathematical education in the late 19th and early 20th centuries.
-
E.
Geoffrey Keyes
Geoffrey Keyes was a senior U.S. Army officer and World War II corps commander known for leading American forces in the Mediterranean theater.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e9189908190abc9c742b38dfabc |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108685f788190aa3f84e56837b195 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.