Triple

T5966744
Position Surface form Disambiguated ID Type / Status
Subject Roger Taillibert E132771 entity
Predicate familyName P18 FINISHED
Object Taillibert
Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
 E559347 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: Taillibert | Statement: [Roger Taillibert, familyName, Taillibert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taillibert
Context triple: [Roger Taillibert, familyName, Taillibert]
  • A. Landry
    Landry is a surname most famously associated with Tom Landry, the legendary longtime head coach of the Dallas Cowboys in the National Football League.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • E. Fleury
    Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
  • 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: Taillibert
Triple: [Roger Taillibert, familyName, Taillibert]
Generated description
Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taillibert
Target entity description: Taillibert is a French surname most notably associated with architect Roger Taillibert, known for designing major sports complexes such as Montreal's Olympic Stadium.
  • A. Landry
    Landry is a surname most famously associated with Tom Landry, the legendary longtime head coach of the Dallas Cowboys in the National Football League.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • E. Fleury
    Fleury is a French-Canadian surname most prominently associated with NHL goaltender Marc-André Fleury.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3e06848190b1d1a191db257a07 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3ff62f08190be56bb9c450c9647 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0f61d80808190913b425c3c57f990 completed March 23, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_69c0f6a75b908190b35d13b9593cf21f completed March 23, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:03 p.m.