Triple
T17849611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Alpert |
E445761
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brüno |
—
|
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: Brüno | Statement: [Craig Alpert, notableWork, Brüno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brüno Context triple: [Craig Alpert, notableWork, Brüno]
-
A.
Brüno
chosen
Brüno is a satirical mockumentary comedy film featuring Sacha Baron Cohen as an outrageous Austrian fashion reporter who exposes cultural absurdities through provocative pranks and interviews.
-
B.
Bruno
Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
-
C.
Bruno (dog)
Bruno is the loyal, brown bloodhound-like dog who serves as Cinderella’s faithful companion in Disney’s animated film.
-
D.
Benno
Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
-
E.
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.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffd7e2c81909a42cc7ab64e7db9 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.