Triple

T8013845
Position Surface form Disambiguated ID Type / Status
Subject Matt LaFleur E186561 entity
Predicate familyName P18 FINISHED
Object LaFleur
LaFleur is a surname most prominently associated with Matt LaFleur, the head coach of the NFL's Green Bay Packers.
E707515 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: LaFleur | Statement: [Matt LaFleur, familyName, LaFleur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaFleur
Context triple: [Matt LaFleur, familyName, LaFleur]
  • A. 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.
  • B. Delmar Arnaud
    Delmar Arnaud, better known as Daz Dillinger, is an American rapper and record producer famed for his work with Death Row Records and contributions to West Coast hip hop.
  • C. Fayard
    Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
  • D. Christian LeBlanc
    Christian LeBlanc is an American actor best known for his long-running role as Michael Baldwin on the soap opera "The Young and the Restless."
  • E. Finley Nantz
    Finley Nantz is the daughter of renowned American sportscaster Jim Nantz.
  • 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: LaFleur
Triple: [Matt LaFleur, familyName, LaFleur]
Generated description
LaFleur is a surname most prominently associated with Matt LaFleur, the head coach of the NFL's Green Bay Packers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LaFleur
Target entity description: LaFleur is a surname most prominently associated with Matt LaFleur, the head coach of the NFL's Green Bay Packers.
  • A. 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.
  • B. Delmar Arnaud
    Delmar Arnaud, better known as Daz Dillinger, is an American rapper and record producer famed for his work with Death Row Records and contributions to West Coast hip hop.
  • C. Fayard
    Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
  • D. Christian LeBlanc
    Christian LeBlanc is an American actor best known for his long-running role as Michael Baldwin on the soap opera "The Young and the Restless."
  • E. Finley Nantz
    Finley Nantz is the daughter of renowned American sportscaster Jim Nantz.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56b4608081909c546d56129d1164 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.