Triple
T20783468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jess Newton |
E511564
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Dock Newton |
—
|
NE NERFINISHED |
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: Dock Newton | Statement: [Jess Newton, hasSibling, Dock Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dock Newton Context triple: [Jess Newton, hasSibling, Dock Newton]
-
A.
Dock Newton
chosen
Dock Newton is a member of the real-life Newton Boys gang, a group of early 20th-century American bank and train robbers depicted in the film "The Newton Boys."
-
B.
Dock Green
Dock Green was a member of the American R&B and soul vocal group The Drifters, known for their influential contributions to doo-wop and early rock and roll.
-
C.
Dock Green
Dock Green is a fictional London police district best known as the setting of the long-running British television series "Dixon of Dock Green."
-
D.
Ocean Dock
Ocean Dock is a major deep-water berth within the Port of Southampton, historically used for handling large ocean-going passenger liners and cargo ships.
-
E.
Dockyard
Dockyard is a railway station in Plymouth, England, serving the local area near Devonport Dockyard on the Tamar Valley Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28a4584819084d2d02febe47001 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.