Triple
T5742236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Magnussen |
E126642
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Billy Magnussen |
E126642
|
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: Billy Magnussen | Statement: [Billy Magnussen, name, Billy Magnussen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Magnussen Context triple: [Billy Magnussen, name, Billy Magnussen]
-
A.
Billy Magnussen
chosen
Billy Magnussen is an American actor known for his work in film, television, and theater, often playing energetic or offbeat supporting roles in both comedies and dramas.
-
B.
Michael Aaglund
Michael Aaglund is a film producer known for his work on the Danish Western thriller "The Salvation."
-
C.
Nikita Mazepin
Nikita Mazepin is a Russian racing driver best known for his stint in Formula One with the Haas F1 Team.
-
D.
Karl Allmendinger
Karl Allmendinger was a German Wehrmacht general during World War II who held several high-level field commands on the Eastern Front.
-
E.
Gian Diego Tipaldi
Gian Diego Tipaldi is a robotics and artificial intelligence researcher known for his work in probabilistic modeling and perception, and for being a doctoral student of Wolfram Burgard.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025852a2c819080521e5b98c00bdc |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e1bfe4481908740aa20d55ec8f6 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.