Triple
T10096049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Siddons |
E215869
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Siddons |
E841338
|
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: Siddons | Statement: [Sarah Siddons, familyName, Siddons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siddons Context triple: [Sarah Siddons, familyName, Siddons]
-
A.
Kemble
Kemble is the middle name of American civil engineer and Union Army general Gouverneur K. Warren, noted for his role at the Battle of Gettysburg during the American Civil War.
-
B.
Kemble
Kemble is a village in Gloucestershire, England, known as a gateway to the Cotswolds and for its nearby railway station on the main line between London and Cheltenham.
-
C.
Kemble
chosen
Kemble is a notable British theatrical family name associated with prominent 18th- and 19th-century stage actors, including members like Sarah Siddons and John Philip Kemble.
-
D.
Redgrave
Redgrave is a small rural village and civil parish in the county of Suffolk, England.
-
E.
Linley
Linley is a small rural settlement in Shropshire, England, situated near the town of Broseley.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0798c248190af675e30e280daa8 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbeef9a08190a2267f6c7de81170 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:02 p.m.