Triple
T7201097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Bethune Ward |
E168744
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jane Wyatt |
E13191
|
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: Jane Wyatt | Statement: [Edgar Bethune Ward, spouse, Jane Wyatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Wyatt Context triple: [Edgar Bethune Ward, spouse, Jane Wyatt]
-
A.
Jane Wyatt
chosen
Jane Wyatt was an American actress best known for her roles in the film "Gentleman's Agreement" and the television series "Father Knows Best."
-
B.
Nancy Richardson
Nancy Richardson is a film editor best known for her work on movies such as the biographical sports comedy-drama "Fighting with My Family."
-
C.
Evelyn Keyes
Evelyn Keyes was an American film actress best known for her role as Suellen O'Hara in the classic 1939 film "Gone with the Wind."
-
D.
Mariette Hartley
Mariette Hartley is an American actress known for her work in film and television since the 1960s, including notable roles in Westerns and numerous guest appearances on popular TV series.
-
E.
Dina Merrill
Dina Merrill was an American actress, heiress, and philanthropist known for her elegant screen presence in mid-20th-century Hollywood films and television.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94971508190bb38184c9af2fe51 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e5664fb8819098ca2138e7c1e044 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 2:52 p.m.