Triple
T12974193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dot Design Award |
E321477
|
entity |
| Predicate | hasAward |
P219
|
FINISHED |
| Object | Red Dot |
E578022
|
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: Red Dot | Statement: [Red Dot Design Award, hasAward, Red Dot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Dot Context triple: [Red Dot Design Award, hasAward, Red Dot]
-
A.
Red Dot
chosen
"Red Dot" is a song by the American rock band Yield, known for its brief, experimental, and largely instrumental style.
-
B.
Red Doff
Red Doff was a film producer active in mid-20th-century American cinema.
-
C.
The Green Stripe
The Green Stripe is a 1905 Fauvist portrait by Henri Matisse of his wife Amélie, notable for its bold use of a green line to divide and model the face.
-
D.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
E.
Red star
The red star is a widely recognized emblem of communism and socialism, historically associated with the Soviet Union and its military forces.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:37 p.m.