Triple
T17736063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Wells |
E442719
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ruth Wells |
—
|
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: Ruth Wells | Statement: [Ruth Wells, name, Ruth Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Wells Context triple: [Ruth Wells, name, Ruth Wells]
-
A.
Ruth Wells
chosen
Ruth Wells was the wife of three-time Academy Award–winning American character actor Walter Brennan.
-
B.
Phyllis Shotwell
Phyllis Shotwell is a singer and musician best known for contributing music to the 1974 gambling-themed film "California Split."
-
C.
Meryl Silverburgh
Meryl Silverburgh is a skilled and determined special operations soldier in the Metal Gear video game series, known for her close ties to Solid Snake and her prominent role in its military and political conflicts.
-
D.
Bette Porter
Bette Porter is a central character in the drama series "The L Word," known as an ambitious, sophisticated art curator navigating complex relationships and LGBTQ+ community dynamics in Los Angeles.
-
E.
Ruth Terry
Ruth Terry was an American actress and singer known for her roles in 1930s and 1940s Hollywood films, particularly in musicals and Westerns.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478eaff6c81909c7bd438b8c6c987 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.