Triple
T9870514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly D’Angelo |
E239943
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Ellen Griswold |
E223084
|
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: Ellen Griswold | Statement: [Beverly D’Angelo, notableRole, Ellen Griswold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Griswold Context triple: [Beverly D’Angelo, notableRole, Ellen Griswold]
-
A.
Ellen Griswold
chosen
Ellen Griswold is the long-suffering yet loving matriarch of the Griswold family in the National Lampoon’s Vacation comedy film series.
-
B.
A. Whitney Griswold
A. Whitney Griswold was an American educator and scholar who served as president of Yale University in the mid-20th century.
-
C.
Rose Loomis
Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
-
D.
Gertrude Warren
Gertrude Warren was the wife of American actor and musician Preston Foster.
-
E.
Ellen Kershaw
Ellen Kershaw is an American philanthropist and author best known for her charitable work and public role alongside her husband, MLB pitcher Clayton Kershaw.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d62628819094786a49b9bcd09b |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e468630c81908d5c72f70e2c6fe4 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.