Triple
T13064919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Boland |
E329296
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Ruby Hill |
E600603
|
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: Ruby Hill | Statement: [Beth Boland, worksWith, Ruby Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Hill Context triple: [Beth Boland, worksWith, Ruby Hill]
-
A.
Ruby Hill
chosen
Ruby Hill was an American singer and actress known for her performances in mid-20th-century musical theatre and popular songs.
-
B.
Win Hill
Win Hill is a prominent peak in England’s Peak District National Park, offering panoramic views over the surrounding countryside and nearby reservoirs.
-
C.
Gravelly Hill
Gravelly Hill is a suburban area of Birmingham, England, best known for its major road interchange nicknamed "Spaghetti Junction."
-
D.
Przemysł Hill
Przemysł Hill is a historic elevation in the center of Poznań, Poland, known primarily as the site of the city’s medieval royal castle and a key landmark in its old town.
-
E.
Old Hill
Old Hill is a town in the West Midlands of England, situated between Birmingham and Stourbridge in the Black Country.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.