Triple
T7419321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss E... So Addictive |
E171204
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Craig Brockman |
E252678
|
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: Craig Brockman | Statement: [Miss E... So Addictive, producer, Craig Brockman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Brockman Context triple: [Miss E... So Addictive, producer, Craig Brockman]
-
A.
Craig Michael Brockman
chosen
Craig Michael Brockman is a songwriter best known for co-writing Christina Aguilera’s hit single "Dirrty."
-
B.
Mark Robarts
Mark Robarts is an ambitious young clergyman in Anthony Trollope’s novel "Framley Parsonage," whose social aspirations and financial imprudence drive much of the story’s conflict.
-
C.
James Kent
James Kent was a prominent early 19th-century American jurist and legal scholar, best known for his influential "Commentaries on American Law."
-
D.
Stanley Sanford
Stanley Sanford was an American actor known for his roles in early 20th-century films, including the 1928 silent movie "The Circus."
-
E.
Don Traeger
Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277c92788190bcd36cfa461b4d95 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.