Triple
T20198663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardiner Museum |
E493154
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Helen Gardiner |
—
|
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: Helen Gardiner | Statement: [Gardiner Museum, namedAfter, Helen Gardiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Gardiner Context triple: [Gardiner Museum, namedAfter, Helen Gardiner]
-
A.
Helen Gardiner
chosen
Helen Gardiner was a Canadian art collector and philanthropist best known for co-founding Toronto’s Gardiner Museum of ceramic art.
-
B.
Helen Davies
Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
-
C.
Helen Humes
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
D.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
E.
Helen McDougall
Helen McDougall, better known by her stage name Helen Mack, was an American actress who appeared in films, radio, and early television during the 1930s and 1940s.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8afe408190a7a9202ed67698e6 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.