Triple
T18879303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes Bruckner |
E461778
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blue Car |
—
|
NE NERFINISHED |
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: Blue Car | Statement: [Agnes Bruckner, notableWork, Blue Car]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Car Context triple: [Agnes Bruckner, notableWork, Blue Car]
-
A.
Blue Car
chosen
Blue Car is a 2002 independent drama film about a troubled teenage poet and her complex relationship with her English teacher.
-
B.
Yellow Cars
Yellow Cars was the popular nickname for the Los Angeles Railway’s yellow-painted streetcars that formed a major part of early 20th-century public transit in Los Angeles.
-
C.
Black Car
Black Car is a high-energy electronic track by the artist Pure, known for its driving beats and dark, atmospheric sound.
-
D.
Dreamcar
Dreamcar is an American new wave-influenced rock supergroup featuring members of No Doubt and AFI.
-
E.
The Car in Front of Me
"The Car in Front of Me" is a country song by Luke Bryan featured on his debut studio album, *I'll Stay Me*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d06ef481908bba297d7a1fd011 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.