Triple

T9937414
Position Surface form Disambiguated ID Type / Status
Subject By the Sea E193991 entity
Predicate producer P490 FINISHED
Object Michael Vieira
Michael Vieira is a film producer known for his work on the romantic drama "By the Sea."
E830893 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: Michael Vieira | Statement: [By the Sea, producer, Michael Vieira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Vieira
Context triple: [By the Sea, producer, Michael Vieira]
  • A. John Tusa
    John Tusa is a British arts administrator, broadcaster, and former managing director of the BBC World Service and the Barbican Centre.
  • B. Tony DiCicco
    Tony DiCicco was an American soccer coach best known for leading the U.S. women’s national team to victory in the 1996 Olympics and the 1999 FIFA Women’s World Cup.
  • C. Patrick Donalé Vieira
    Patrick Donalé Vieira is a retired French footballer and World Cup winner who became renowned as a dominant midfielder for Arsenal and later as a professional football manager.
  • D. Kevin DiCicco
    Kevin DiCicco is a screenwriter best known for creating and writing the family sports film franchise featuring the basketball-playing dog Air Bud.
  • E. Carl Restivo
    Carl Restivo is an American musician, producer, and multi-instrumentalist known for his work with rock and alternative acts including collaborations with Tom Morello and various high-profile projects.
  • 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: Michael Vieira
Triple: [By the Sea, producer, Michael Vieira]
Generated description
Michael Vieira is a film producer known for his work on the romantic drama "By the Sea."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Vieira
Target entity description: Michael Vieira is a film producer known for his work on the romantic drama "By the Sea."
  • A. John Tusa
    John Tusa is a British arts administrator, broadcaster, and former managing director of the BBC World Service and the Barbican Centre.
  • B. Tony DiCicco
    Tony DiCicco was an American soccer coach best known for leading the U.S. women’s national team to victory in the 1996 Olympics and the 1999 FIFA Women’s World Cup.
  • C. Patrick Donalé Vieira
    Patrick Donalé Vieira is a retired French footballer and World Cup winner who became renowned as a dominant midfielder for Arsenal and later as a professional football manager.
  • D. Kevin DiCicco
    Kevin DiCicco is a screenwriter best known for creating and writing the family sports film franchise featuring the basketball-playing dog Air Bud.
  • E. Carl Restivo
    Carl Restivo is an American musician, producer, and multi-instrumentalist known for his work with rock and alternative acts including collaborations with Tom Morello and various high-profile projects.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228f259b081909ce8a90ec1adad0d completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22a78819481908ccff34730464f19 completed April 5, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69d22b0fea588190a4928c361c2367ca completed April 5, 2026, 9:27 a.m.
Created at: March 30, 2026, 8:44 p.m.