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.