Triple
T8450443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvie’s Love |
E199785
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jonathan Baker
Jonathan Baker is a film producer known for his work on the romantic drama "Sylvie’s Love."
|
E737519
|
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: Jonathan Baker | Statement: [Sylvie’s Love, producer, Jonathan Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Baker Context triple: [Sylvie’s Love, producer, Jonathan Baker]
-
A.
Jonathan Baker
Jonathan Baker is an English Anglican bishop who serves as the Bishop of Fulham, providing episcopal oversight particularly for traditionalist parishes within the Church of England.
-
B.
Nick Baker
Nick Baker is a British naturalist and television presenter best known for hosting wildlife and nature programmes.
-
C.
Paul Baker
Paul Baker was an influential American theater director and educator known for pioneering innovative stage techniques and founding major regional theater institutions.
-
D.
John Baker
John Baker was a British engineer best known for helping design the Morrison shelter, an indoor air-raid shelter used in the UK during World War II.
-
E.
John Baker
John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
- 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: Jonathan Baker Triple: [Sylvie’s Love, producer, Jonathan Baker]
Generated description
Jonathan Baker is a film producer known for his work on the romantic drama "Sylvie’s Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Baker Target entity description: Jonathan Baker is a film producer known for his work on the romantic drama "Sylvie’s Love."
-
A.
Jonathan Baker
Jonathan Baker is an English Anglican bishop who serves as the Bishop of Fulham, providing episcopal oversight particularly for traditionalist parishes within the Church of England.
-
B.
Nick Baker
Nick Baker is a British naturalist and television presenter best known for hosting wildlife and nature programmes.
-
C.
Paul Baker
Paul Baker was an influential American theater director and educator known for pioneering innovative stage techniques and founding major regional theater institutions.
-
D.
John Baker
John Baker was a figure significant enough in Georgia’s early history that Baker County was named in his honor, likely for his contributions to the state or region.
-
E.
John Baker
John Baker is a video game music composer best known for creating the funky, hip-hop–inspired soundtrack to the classic Sega Genesis game ToeJam & Earl.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39c11a488190b7775002e419eee7 |
completed | April 2, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ce3e82e57c81909b95577bd54616ff |
completed | April 2, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3ef732748190a4c0beabc1cbfad7 |
completed | April 2, 2026, 10:03 a.m. |
Created at: March 30, 2026, 6:09 p.m.