Triple
T2772806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacha Baron Cohen |
E61496
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brüno |
E88243
|
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: Brüno | Statement: [Sacha Baron Cohen, notableWork, Brüno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brüno Context triple: [Sacha Baron Cohen, notableWork, Brüno]
-
A.
Bruno
chosen
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
-
B.
Benny the Bull
Benny the Bull is the high-energy, acrobatic mascot of the NBA’s Chicago Bulls, known for his comedic antics and fan engagement during games.
-
C.
Bruno the Bear
Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
-
D.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
E.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc0553588819098d478b4aaa18478 |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.