Triple
T22142129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Blaustein |
E547186
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Boss |
—
|
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: The Boss | Statement: [Julian Blaustein, notableWork, The Boss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Boss Context triple: [Julian Blaustein, notableWork, The Boss]
-
A.
The Boss
The Boss is a comedic work associated with American actress and comedian Nora Dunn, likely showcasing her distinctive satirical style.
-
B.
The Boss
The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
-
C.
The Boss
The Boss is a powerful and feared crime lord in the film "Lucky Number Slevin," serving as one of the central antagonists who drives the story’s underworld conflict.
-
D.
The Boss
The Boss is the nickname of Rick Ross, an American rapper and music executive known for his deep voice, luxurious themes, and influential role in Southern hip-hop.
-
E.
The Boss
chosen
The Boss is a film featuring actor John Payne in a prominent role.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bf78108190b50d937917258693 |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.