Triple
T16179426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rover Group |
E392647
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Morris |
E698070
|
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: Morris | Statement: [Rover Group, brand, Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris Context triple: [Rover Group, brand, Morris]
-
A.
Morris
Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
-
B.
Morris
Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
C.
Morris
chosen
Morris is a historic British automobile marque best known for popular mass-market cars produced throughout the 20th century.
-
D.
Morris
Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
-
E.
Morris men
Morris men are traditional English folk dancers known for performing lively, rhythmic routines in distinctive costumes, often featuring bells, sticks, and handkerchiefs.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205b88b481908ecdd8d663dc668b |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.