Triple
T12693432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy King |
E303266
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fischer’s |
E998194
|
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: Fischer’s | Statement: [Jeremy King, notableWork, Fischer’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fischer’s Context triple: [Jeremy King, notableWork, Fischer’s]
-
A.
Fischer’s
chosen
Fischer’s is a renowned London restaurant known for its classic Viennese café style, serving Central European dishes in an elegant, old-world setting.
-
B.
Fenner's
Fenner's is a historic cricket ground in Cambridge, England, best known as the main venue for Cambridge University Cricket Club matches.
-
C.
Dunnigan
Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
-
D.
Von Maur
Von Maur is an American upscale department store chain known for its high-end fashion, customer service, and presence in major shopping malls across the Midwest and South.
-
E.
Harveys
Harveys is a casino and hotel brand best known for its flagship resort on the south shore of Lake Tahoe, offering gaming, entertainment, and lodging.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dbc91c8190bec50797bbd593db |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7c4c608190a1786accf8d86141 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:22 p.m.