Triple
T1801126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble in Store |
E39719
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Alfie Bass
Alfie Bass was a British character actor and comedian known for his prolific work in film, television, and theatre from the 1940s through the 1980s.
|
E201476
|
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: Alfie Bass | Statement: [Trouble in Store, hasCastMember, Alfie Bass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfie Bass Context triple: [Trouble in Store, hasCastMember, Alfie Bass]
-
A.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
B.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
C.
Oliver Muirhead
Oliver Muirhead is a British character actor known for his supporting roles in film and television, often portraying dryly comedic or upper-class English characters.
-
D.
Martin Phipps
Martin Phipps is a British film and television composer known for his atmospheric, orchestral scores for acclaimed series and period dramas.
-
E.
Julian Amery
Julian Amery was a prominent British Conservative politician and minister known for his roles in defense and colonial affairs during the mid-20th century.
- 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: Alfie Bass Triple: [Trouble in Store, hasCastMember, Alfie Bass]
Generated description
Alfie Bass was a British character actor and comedian known for his prolific work in film, television, and theatre from the 1940s through the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfie Bass Target entity description: Alfie Bass was a British character actor and comedian known for his prolific work in film, television, and theatre from the 1940s through the 1980s.
-
A.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
B.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
C.
Oliver Muirhead
Oliver Muirhead is a British character actor known for his supporting roles in film and television, often portraying dryly comedic or upper-class English characters.
-
D.
Martin Phipps
Martin Phipps is a British film and television composer known for his atmospheric, orchestral scores for acclaimed series and period dramas.
-
E.
Julian Amery
Julian Amery was a prominent British Conservative politician and minister known for his roles in defense and colonial affairs during the mid-20th century.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa656ad5d4819090e677ad137b0cd1 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5db1c7c81908c25e62dca1cb825 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb8b626688190b4953d4549339dea |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb9253fa08190bfb7d245208150c0 |
completed | March 8, 2026, 6 p.m. |
Created at: March 4, 2026, 7:32 p.m.