Triple

T3082936
Position Surface form Disambiguated ID Type / Status
Subject Shawn Kemp E64299 entity
Predicate statusWithFranchise P16873 FINISHED
Object one of the most popular players in Seattle SuperSonics history 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: one of the most popular players in Seattle SuperSonics history | Statement: [Shawn Kemp, statusWithFranchise, one of the most popular players in Seattle SuperSonics history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusWithFranchise
Context triple: [Shawn Kemp, statusWithFranchise, one of the most popular players in Seattle SuperSonics history]
  • A. franchiseStatus
    Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
  • B. positionOnFranchise chosen
    Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
  • C. franchiseOf
    Indicates that one entity operates as a franchise belonging to or licensed by another entity.
  • D. typeOfFranchise
    Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
  • E. controlsFranchiseType
    Indicates that one entity has authority to determine or manage the type or category of franchise associated with another entity.
  • F. None of above.

Provenance (3 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
PD Predicate disambiguation batch_69ad9debb6308190be28378ae1fc98af completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.