Triple

T9355312
Position Surface form Disambiguated ID Type / Status
Subject Mark Pavelich E225122 entity
Predicate scoredAssists P88109 FINISHED
Object 2 assists in 1980 Olympic game vs. Soviet Union LITERAL FINISHED

How this triple was built (2 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: 2 assists in 1980 Olympic game vs. Soviet Union | Statement: [Mark Pavelich, scoredAssists, 2 assists in 1980 Olympic game vs. Soviet Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scoredAssists
Context triple: [Mark Pavelich, scoredAssists, 2 assists in 1980 Olympic game vs. Soviet Union]
  • A. scoringLeaderAssists
    Indicates that the entity identified as the scoring leader in a game or season also recorded the most assists (or a specified number of assists) in that context.
  • B. topAssistsAssistsPerGame
    Indicates that the subject ranks among the top performers in terms of average assists made per game.
  • C. recordAssistsInThatGame
    Indicates that one entity achieved the highest number of assists in a particular game.
  • D. MVPAssists
    Indicates that one entity, recognized as the most valuable player (MVP), provides assistance or support to another entity in achieving a goal or outcome.
  • E. assistsLeaderTeam
    Indicates that an entity provides help or support to the leader’s team in carrying out its activities or responsibilities.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f99205c8190a5ad95926ef25497 completed April 1, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69cc7a68ab9481909f97cb70764697cc completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc955a38108190b602d1e73725f11b completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:42 p.m.