Triple
T6782558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukinfield |
E155718
|
entity |
| Predicate | borders |
P224
|
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: [Dukinfield, borders, Hyde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyde Context triple: [Dukinfield, borders, 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.
Sylar
Sylar is the primary superpowered serial killer antagonist in the television series "Heroes," known for his ability to understand and steal others' abilities.
-
D.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
E.
P.H. Moriarty
P.H. Moriarty is a British actor best known for his tough-guy roles in films such as "Lock, Stock and Two Smoking Barrels" and "The Long Good Friday."
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d289958481908ad4f9467a107083 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d5557881909614819deb335534 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:14 p.m.