Triple
T7924752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Leyland |
E184031
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | Rover |
E187996
|
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: Rover | Statement: [British Leyland, ownedBrand, Rover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rover Context triple: [British Leyland, ownedBrand, Rover]
-
A.
Rover
chosen
Rover is a historic British automotive marque and former manufacturer known for producing a range of passenger cars and engines throughout the 20th century.
-
B.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
-
C.
Digger
Digger is the central character of the play "The Hasty Heart," around whom the story’s emotional and dramatic developments revolve.
-
D.
Rove
Rove is the surname of Karl Rove, a prominent American political consultant and strategist known for his key role in George W. Bush’s presidential campaigns and administration.
-
E.
Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aad48908190911905b4635bf01e |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf89a0c81908e1cb988c0bc1d62 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:06 p.m.