Triple
T761914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Griffin |
E16088
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Prius |
E89535
|
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: Prius | Statement: [Brian Griffin, owns, Prius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prius Context triple: [Brian Griffin, owns, Prius]
-
A.
Toyota Prius
chosen
The Toyota Prius is a pioneering mass-market hybrid electric car renowned for its fuel efficiency and role in popularizing environmentally friendly vehicles worldwide.
-
B.
Nissan Leaf
The Nissan Leaf is a mass-market all-electric compact hatchback known for pioneering affordable zero-emission driving.
-
C.
Toyota Corolla
The Toyota Corolla is a compact car renowned worldwide for its reliability, fuel efficiency, and status as one of the best-selling automobiles in history.
-
D.
Ford Model e
Ford Model e is Ford Motor Company's dedicated division focused on developing and producing electric and connected vehicles.
-
E.
Toyota Camry
The Toyota Camry is a popular mid-size sedan known for its reliability, comfort, and strong sales worldwide.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a682e7d081909c9cd7839a49fb0b |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e44b9c88190a4481c28499860d7 |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:37 p.m.