Triple
T10469886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All3Media |
E246895
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jules Burns
Jules Burns is a British media executive best known as a co-founder of the television production and distribution company All3Media.
|
E868169
|
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: Jules Burns | Statement: [All3Media, foundedBy, Jules Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jules Burns Context triple: [All3Media, foundedBy, Jules Burns]
-
A.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
-
B.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
C.
Lewis Jones
Lewis Jones was a prominent 19th-century Welsh settler and leader of the Welsh colony in Patagonia, Argentina.
-
D.
Guy Bensley
Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
-
E.
Henry McMorran
Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
- 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: Jules Burns Triple: [All3Media, foundedBy, Jules Burns]
Generated description
Jules Burns is a British media executive best known as a co-founder of the television production and distribution company All3Media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jules Burns Target entity description: Jules Burns is a British media executive best known as a co-founder of the television production and distribution company All3Media.
-
A.
Leo Barnes
Leo Barnes is a former police sergeant turned security chief who becomes a key resistance figure fighting to end the annual Purge in the dystopian horror-thriller film series.
-
B.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
-
C.
Lewis Jones
Lewis Jones was a prominent 19th-century Welsh settler and leader of the Welsh colony in Patagonia, Argentina.
-
D.
Guy Bensley
Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
-
E.
Henry McMorran
Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90db8b1288190bb6bb064cb0724e0 |
completed | April 10, 2026, 2:48 p.m. |
| NEDg | Description generation | batch_69d9100604e08190b744b361d60188d5 |
completed | April 10, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d910a1cdb88190988db41e97341ed9 |
completed | April 10, 2026, 3 p.m. |
Created at: April 6, 2026, 12:20 p.m.