Triple
T6464886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Josephine Baker Story |
E142208
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Brian Eastman
Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
|
E593558
|
NE FINISHED |
How this triple was built (4 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: Brian Eastman | Statement: [The Josephine Baker Story, producer, Brian Eastman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Eastman Context triple: [The Josephine Baker Story, producer, Brian Eastman]
-
A.
Mike Kellin
Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
-
B.
Alex Pall
Alex Pall is an American DJ and music producer best known as one half of the electronic music duo The Chainsmokers.
-
C.
Lee Eastman
Lee Eastman was an American entertainment lawyer best known for representing and advising Paul McCartney and other prominent musicians.
-
D.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
E.
Daniel Lapaine
Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brian Eastman Triple: [The Josephine Baker Story, producer, Brian Eastman]
Generated description
Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Eastman Target entity description: Brian Eastman is a British film and television producer known for his work on acclaimed dramas and adaptations, including "The Josephine Baker Story."
-
A.
Mike Kellin
Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
-
B.
Alex Pall
Alex Pall is an American DJ and music producer best known as one half of the electronic music duo The Chainsmokers.
-
C.
Lee Eastman
Lee Eastman was an American entertainment lawyer best known for representing and advising Paul McCartney and other prominent musicians.
-
D.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
E.
Daniel Lapaine
Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
- F. None of above. chosen
Provenance (5 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a10305081909521ee200cf70a30 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bea685c8190ad647a61b6e969e5 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64d5f8dcc81908dc15e75acac8d16 |
completed | March 27, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64dcfe90c819080dfc48240068d37 |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:49 p.m.