Triple
T7092568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Plunkett |
E165232
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Walter Plunkett |
E165232
|
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: Walter Plunkett | Statement: [Walter Plunkett, name, Walter Plunkett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Plunkett Context triple: [Walter Plunkett, name, Walter Plunkett]
-
A.
Walter Plunkett
chosen
Walter Plunkett was a prominent American costume designer best known for his work on classic Hollywood films such as "Gone with the Wind."
-
B.
Edmund Greacen
Edmund Greacen was an American Impressionist painter and influential art educator who co-founded New York’s Grand Central School of Art.
-
C.
Reginald McKenna
Reginald McKenna was a British Liberal politician who held several senior government posts, including Home Secretary and Chancellor of the Exchequer, during the early 20th century.
-
D.
Arthur Dignam
Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
-
E.
William Pleeth
William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31e3fec8190b22da130f7cbaaf9 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:41 p.m.