Triple
T17910481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach City |
E447805
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Sadie Miller |
—
|
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: Sadie Miller | Statement: [Beach City, hasResident, Sadie Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadie Miller Context triple: [Beach City, hasResident, Sadie Miller]
-
A.
Sadie Miller
chosen
Sadie Miller is a British actress and writer, best known for continuing her mother Elisabeth Sladen’s legacy by voicing Sarah Jane Smith in Doctor Who audio dramas.
-
B.
Marjorie Morningstar
Marjorie Morningstar is the title character of Herman Wouk’s 1955 novel, a young Jewish woman in mid-20th-century New York whose coming-of-age story explores love, ambition, and cultural expectations.
-
C.
Sadie Smith
Sadie Smith is the birth name of Zadie Smith, the acclaimed British novelist known for works such as "White Teeth" and "On Beauty."
-
D.
Sadie Smith
Sadie Smith is a person whose specific public identity or notable achievements are not clearly defined from the given information.
-
E.
Agnes of Sorrento
Agnes of Sorrento is a historical novel by Harriet Beecher Stowe set in Renaissance Italy, exploring themes of faith, love, and moral conflict.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.