Triple
T20188545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schumacher |
E492925
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Shoemaker |
—
|
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: Shoemaker | Statement: [Schumacher, hasVariant, Shoemaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoemaker Context triple: [Schumacher, hasVariant, Shoemaker]
-
A.
Shoemaker
chosen
Shoemaker is a surname most famously associated with American geologist and astronomer Eugene Shoemaker, a pioneer of planetary science and co-discoverer of Comet Shoemaker–Levy 9.
-
B.
The Cobbler
The Cobbler, also known as Ben Arthur, is a distinctive, rocky mountain in the Arrochar Alps of Scotland famed for its craggy summit and popular climbing routes.
-
C.
The Cobbler
The Cobbler is a genre painting by Dutch Golden Age artist Abraham Bloemaert, depicting a humble shoemaker at work in a detailed, everyday interior scene.
-
D.
The Cobbler
The Cobbler is a 2014 fantasy-comedy film starring Adam Sandler as a shoe repairman who discovers a magical heirloom that allows him to literally step into his customers’ lives.
-
E.
The Carpenter
The Carpenter is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his detailed and dramatic religious and genre scenes.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad404508190981cfb7cab18d8d3 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.