Triple
T17641225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Hopkins (Mayflower passenger) |
E429232
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ruth Hopkins |
—
|
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 Hopkins | Statement: [Stephen Hopkins (Mayflower passenger), child, Ruth Hopkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Hopkins Context triple: [Stephen Hopkins (Mayflower passenger), child, Ruth Hopkins]
-
A.
Ruth Hopkins
chosen
Ruth Hopkins was a member of the prominent Hopkins family of early colonial New England, known primarily through her relationship to Mayflower passenger and Plymouth Colony leader Stephen Hopkins.
-
B.
Ruth Henshaw
Ruth Henshaw is a fictional character portrayed by American actress Frances Rafferty, likely in mid-20th-century film or television.
-
C.
Ruth Harper
Ruth Harper was the wife of influential American sociologist C. Wright Mills, known primarily in relation to his personal and intellectual biography.
-
D.
Ruth Rose
Ruth Rose was an American screenwriter best known for co-writing the classic 1933 monster film "King Kong."
-
E.
Ruth White
Ruth White was an American character actress known for her work in mid-20th-century film, television, and theater, often portraying strong, memorable supporting roles.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de50bf481909e938613b38f0202 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:02 a.m.