Triple

T8431620
Position Surface form Disambiguated ID Type / Status
Subject Silo E199126 entity
Predicate executiveProducer P7225 FINISHED
Object Remi Aubuchon
Remi Aubuchon is an American television writer and producer known for his work on science fiction and drama series.
 E732744 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: Remi Aubuchon | Statement: [Silo, executiveProducer, Remi Aubuchon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Remi Aubuchon
Context triple: [Silo, executiveProducer, Remi Aubuchon]
  • A. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • B. Julien BriseBois
    Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
  • C. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Antoine Daniel
    Antoine Daniel was a 17th-century French Jesuit missionary and martyr who worked among Indigenous peoples in New France (present-day Canada).
  • 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: Remi Aubuchon
Triple: [Silo, executiveProducer, Remi Aubuchon]
Generated description
Remi Aubuchon is an American television writer and producer known for his work on science fiction and drama series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Remi Aubuchon
Target entity description: Remi Aubuchon is an American television writer and producer known for his work on science fiction and drama series.
  • A. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • B. Julien BriseBois
    Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
  • C. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Antoine Daniel
    Antoine Daniel was a 17th-century French Jesuit missionary and martyr who worked among Indigenous peoples in New France (present-day Canada).
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce038902308190bff57c9ce14e72ed completed April 2, 2026, 5:50 a.m.
NEDg Description generation batch_69ce07851c4081909a9468a386035bb2 completed April 2, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69ce07ec00248190bb10fee54265c7f9 completed April 2, 2026, 6:08 a.m.
Created at: March 30, 2026, 6:07 p.m.