Triple
T1360474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tameside |
E29087
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hyde |
E86540
|
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: Hyde | Statement: [Tameside, contains, Hyde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyde Context triple: [Tameside, contains, Hyde]
-
A.
Hyde
chosen
Hyde is a town in Greater Manchester, England, known as a residential and former industrial community within the Tameside borough.
-
B.
Mr. Edward Hyde
Mr. Edward Hyde is the violent, malevolent alter ego of Dr. Henry Jekyll in Robert Louis Stevenson’s classic Gothic novella "Strange Case of Dr Jekyll and Mr Hyde."
-
C.
John Black
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
-
D.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
E.
Jekyll & Hyde
Jekyll & Hyde is a musical thriller, based on Robert Louis Stevenson’s novella, that explores the duality of human nature through the tragic transformation of Dr. Henry Jekyll into the violent Edward Hyde.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce725fec819085f6de8e6e368aa4 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.