Triple
T2800468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curry |
E53140
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Adrian Curry
Adrian Curry is a film poster designer and curator known for his work highlighting and preserving classic and contemporary movie poster art.
|
E303648
|
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: Adrian Curry | Statement: [Curry, hasNotableBearer, Adrian Curry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrian Curry Context triple: [Curry, hasNotableBearer, Adrian Curry]
-
A.
Adrian Johnston
Adrian Johnston is a British composer known for his extensive work on film and television scores.
-
B.
Adrian Dowell
Adrian Dowell is a collegiate sports executive who serves as the athletic director for the University of Nebraska Omaha’s Omaha Mavericks athletic program.
-
C.
Adrian Hodges
Adrian Hodges is a British screenwriter and television producer known for his work on film and TV dramas, including adaptations and original series.
-
D.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
E.
Gavin Millar
Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
- 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: Adrian Curry Triple: [Curry, hasNotableBearer, Adrian Curry]
Generated description
Adrian Curry is a film poster designer and curator known for his work highlighting and preserving classic and contemporary movie poster art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adrian Curry Target entity description: Adrian Curry is a film poster designer and curator known for his work highlighting and preserving classic and contemporary movie poster art.
-
A.
Adrian Johnston
Adrian Johnston is a British composer known for his extensive work on film and television scores.
-
B.
Adrian Dowell
Adrian Dowell is a collegiate sports executive who serves as the athletic director for the University of Nebraska Omaha’s Omaha Mavericks athletic program.
-
C.
Adrian Hodges
Adrian Hodges is a British screenwriter and television producer known for his work on film and TV dramas, including adaptations and original series.
-
D.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
E.
Gavin Millar
Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf4ca9c8190a4adfd1c1373af41 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8a5c364819092b01e90ee40e155 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afe98243508190837853fa2c08e44a |
completed | March 10, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b008b519bc81908768fba43c5c8d5e |
completed | March 10, 2026, 12:04 p.m. |
Created at: March 6, 2026, 9:58 p.m.