Triple
T23141943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Green |
E577485
|
entity |
| Predicate | associatedWithMonarch |
P21467
|
FINISHED |
| Object | Elizabeth I |
E18415
|
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: Elizabeth I | Statement: [Tower Green, associatedWithMonarch, Elizabeth I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth I Context triple: [Tower Green, associatedWithMonarch, Elizabeth I]
-
A.
Elizabeth I of England
chosen
Elizabeth I of England was the long-reigning Tudor queen (1558–1603) whose rule oversaw the Elizabethan cultural flourishing, the defeat of the Spanish Armada, and the consolidation of Protestantism in England.
-
B.
Elizabeth
"Elizabeth" is a 1998 historical drama film that chronicles the early reign of Queen Elizabeth I of England, starring Cate Blanchett in the title role.
-
C.
Elizabeth
Elizabeth is a comedic, high-strung fiancée character in the 1974 Mel Brooks film "Young Frankenstein," known for her dramatic personality and memorable scenes.
-
D.
Elizabeth
Elizabeth is the given first name of Lady Sarah McCorquodale, the elder sister of Diana, Princess of Wales.
-
E.
Elizabeth
Elizabeth is the middle name of Mary Elizabeth Horsley, likely reflecting a traditional English given name.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18eca8a9081908dcc39409f615b7c |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308fd60c8190afd340bd74423220 |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 4 p.m.