Triple

T2602334
Position Surface form Disambiguated ID Type / Status
Subject 1979 NBA Finals E58372 entity
Predicate MVP P2630 FINISHED
Object Tom LaGarde
Tom LaGarde is a former American professional basketball player and Olympic gold medalist who played as a center/forward in the NBA during the late 1970s and early 1980s.
 E289708 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: Tom LaGarde | Statement: [1979 NBA Finals, MVP, Tom LaGarde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom LaGarde
Context triple: [1979 NBA Finals, MVP, Tom LaGarde]
  • A. Mike Richardson
    Mike Richardson is an American comic book publisher and film producer best known as the founder of Dark Horse Comics and for producing numerous comic-based films and television projects.
  • B. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • C. Tucker Quayle
    Tucker Quayle is the son of former U.S. Vice President Dan Quayle and a member of the prominent Quayle political family.
  • D. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • E. Greg Kouri
    Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
  • 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: Tom LaGarde
Triple: [1979 NBA Finals, MVP, Tom LaGarde]
Generated description
Tom LaGarde is a former American professional basketball player and Olympic gold medalist who played as a center/forward in the NBA during the late 1970s and early 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom LaGarde
Target entity description: Tom LaGarde is a former American professional basketball player and Olympic gold medalist who played as a center/forward in the NBA during the late 1970s and early 1980s.
  • A. Mike Richardson
    Mike Richardson is an American comic book publisher and film producer best known as the founder of Dark Horse Comics and for producing numerous comic-based films and television projects.
  • B. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • C. Tucker Quayle
    Tucker Quayle is the son of former U.S. Vice President Dan Quayle and a member of the prominent Quayle political family.
  • D. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • E. Greg Kouri
    Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd459ca6c81908505be96d097b739 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf429ca8819091ed4737653f6023 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb000ed448190a3d6db802eb88958 completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb07e1d2c8190a8b8da3d3641b36c completed March 10, 2026, 5:47 a.m.
Created at: March 6, 2026, 9:49 p.m.