Triple
T1180799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugsy Malone |
E25131
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
|
E235553
|
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: Peter Biziou | Statement: [Bugsy Malone, cinematographyBy, Peter Biziou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Biziou Context triple: [Bugsy Malone, cinematographyBy, Peter Biziou]
-
A.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
B.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
-
C.
Thierry Cruanes
Thierry Cruanes is a computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
D.
Gilbert Rozon
Gilbert Rozon is a Canadian entertainment producer best known as the controversial founder of the international comedy festival Just for Laughs.
-
E.
Roger Ducos
Roger Ducos was a French politician and member of the Directory who played a transitional role in the final phase of the French Revolution leading up to Napoleon Bonaparte’s rise to power.
- 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: Peter Biziou Triple: [Bugsy Malone, cinematographyBy, Peter Biziou]
Generated description
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Biziou Target entity description: Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
A.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
B.
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
-
C.
Thierry Cruanes
Thierry Cruanes is a computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
D.
Gilbert Rozon
Gilbert Rozon is a Canadian entertainment producer best known as the controversial founder of the international comedy festival Just for Laughs.
-
E.
Roger Ducos
Roger Ducos was a French politician and member of the Directory who played a transitional role in the final phase of the French Revolution leading up to Napoleon Bonaparte’s rise to power.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae30355a548190af3f858170b9b82c |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae4ce6682c81908386565e674052dc |
completed | March 9, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae4d5bd0a48190b01c74f5c8cce71a |
completed | March 9, 2026, 4:32 a.m. |
Created at: March 1, 2026, 7:45 p.m.