Triple
T10495429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Syndicate |
E247526
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Yvonne Francas
Yvonne Francas is a British television producer known for her work on popular UK drama series.
|
E867800
|
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: Yvonne Francas | Statement: [The Syndicate, executiveProducer, Yvonne Francas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvonne Francas Context triple: [The Syndicate, executiveProducer, Yvonne Francas]
-
A.
Yvonne Furneaux
Yvonne Furneaux is a French-British actress best known for her roles in European cinema of the 1950s and 1960s, including collaborations with prominent directors such as Federico Fellini and Roman Polanski.
-
B.
Yvonne Dereany
Yvonne Dereany is known as the wife of New Zealand politician and former Prime Minister Mike Moore.
-
C.
Yvonne Paraf
Yvonne Paraf was a French publisher best known as the founder of the influential literary publishing house Les Éditions de Minuit.
-
D.
Yvonne Spenceley
Yvonne Spenceley is best known as the first wife of Maurice Gibb, a member of the Bee Gees.
-
E.
Angela Bonfils
Angela Bonfils is a central character in the musical comedy "The Belle of New York," typically portrayed as a virtuous Salvation Army worker whose moral influence transforms a wayward playboy.
- 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: Yvonne Francas Triple: [The Syndicate, executiveProducer, Yvonne Francas]
Generated description
Yvonne Francas is a British television producer known for her work on popular UK drama series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yvonne Francas Target entity description: Yvonne Francas is a British television producer known for her work on popular UK drama series.
-
A.
Yvonne Furneaux
Yvonne Furneaux is a French-British actress best known for her roles in European cinema of the 1950s and 1960s, including collaborations with prominent directors such as Federico Fellini and Roman Polanski.
-
B.
Yvonne Dereany
Yvonne Dereany is known as the wife of New Zealand politician and former Prime Minister Mike Moore.
-
C.
Yvonne Paraf
Yvonne Paraf was a French publisher best known as the founder of the influential literary publishing house Les Éditions de Minuit.
-
D.
Yvonne Spenceley
Yvonne Spenceley is best known as the first wife of Maurice Gibb, a member of the Bee Gees.
-
E.
Angela Bonfils
Angela Bonfils is a central character in the musical comedy "The Belle of New York," typically portrayed as a virtuous Salvation Army worker whose moral influence transforms a wayward playboy.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098be488819083d614f528cd82fb |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcbafe9481908fb23cfdf150adac |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.