Triple
T9548523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Conte |
E230358
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ruth Storey |
E667903
|
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: Ruth Storey | Statement: [Richard Conte, spouse, Ruth Storey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Storey Context triple: [Richard Conte, spouse, Ruth Storey]
-
A.
Ruth Storey
chosen
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
B.
Ruth McCord
Ruth McCord is known primarily as the wife of James W. McCord Jr., a former CIA officer and key figure in the Watergate scandal.
-
C.
Ruth Noble
Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
-
D.
Ruth Sherwood
Ruth Sherwood is a witty, ambitious writer from Ohio who moves to New York City with her sister Eileen in the musical "Wonderful Town," often serving as the show's sharp-tongued, comedic lead.
-
E.
Ruth Myers
Ruth Myers is an acclaimed British costume designer known for her imaginative and character-defining work on numerous films and television productions.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99059138819088ae54b26df979cf |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3734e5e688190bbfa472547ef65e8 |
completed | April 18, 2026, 12:04 p.m. |
Created at: March 30, 2026, 8:02 p.m.