Triple
T15840739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group A era |
E384093
|
entity |
| Predicate | featuredManufacturer |
P109372
|
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: [Group A era, featuredManufacturer, Rover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rover Context triple: [Group A era, featuredManufacturer, 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.
Rover
Rover is one of Snoopy’s lesser-known canine siblings from the Peanuts comic strip universe created by Charles M. Schulz.
-
C.
Rover
"Rover" is a breakout hip-hop single by American rapper BlocBoy JB that helped propel him to mainstream recognition.
-
D.
Rover (family dog)
Rover is the loyal and talkative family dog featured in Disney’s classic Carousel of Progress attraction, appearing in each scene alongside the evolving American household.
-
E.
Jip
Jip is the loyal and sharp-eared dog companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e764088190afba6c5c1acf8199 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93ddce4819086174b2549f5e12b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.