Triple

T17360478
Position Surface form Disambiguated ID Type / Status
Subject Air E422054 entity
Predicate hasMember P10 FINISHED
Object Nicolas Godin — NE ONDG

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: Nicolas Godin | Statement: [Air, hasMember, Nicolas Godin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicolas Godin
Context triple: [Air, hasMember, Nicolas Godin]
  • A. Jacques Godin
    Jacques Godin was a Canadian actor known for his extensive work in film, television, and theater, particularly within Quebec’s entertainment industry.
  • B. Noel Blanc
    Noel Blanc is an American voice actor and producer best known for continuing the legacy of his father, legendary cartoon voice actor Mel Blanc, by voicing many of the classic Looney Tunes characters.
  • C. Sebastien Tellier
    Sébastien Tellier is a French singer-songwriter and multi-instrumentalist known for his atmospheric, synth-driven pop and his eclectic, often cinematic approach to music.
  • D. Luc Jobin
    Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
  • E. Simon Després
    Simon Després is a Canadian professional ice hockey defenceman who was drafted in the first round by the Pittsburgh Penguins and has played in the NHL and various international leagues.
  • 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: Nicolas Godin
Triple: [Air, hasMember, Nicolas Godin]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicolas Godin
Target entity description: Nicolas Godin is a French musician and producer best known as one half of the influential electronic music duo Air.
  • A. Jacques Godin
    Jacques Godin was a Canadian actor known for his extensive work in film, television, and theater, particularly within Quebec’s entertainment industry.
  • B. Noel Blanc
    Noel Blanc is an American voice actor and producer best known for continuing the legacy of his father, legendary cartoon voice actor Mel Blanc, by voicing many of the classic Looney Tunes characters.
  • C. Sebastien Tellier
    Sébastien Tellier is a French singer-songwriter and multi-instrumentalist known for his atmospheric, synth-driven pop and his eclectic, often cinematic approach to music.
  • D. Luc Jobin
    Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
  • E. Simon Després
    Simon Després is a Canadian professional ice hockey defenceman who was drafted in the first round by the Pittsburgh Penguins and has played in the NHL and various international leagues.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.