Triple

T10347505
Position Surface form Disambiguated ID Type / Status
Subject 1997 Major League Soccer season E243788 entity
Predicate mostValuablePlayer P2630 FINISHED
Object Preki E231869 NE 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: Preki | Statement: [1997 Major League Soccer season, mostValuablePlayer, Preki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preki
Context triple: [1997 Major League Soccer season, mostValuablePlayer, Preki]
  • A. Preki chosen
    Preki is a former Yugoslav-American professional soccer player and coach best known for his standout MLS career and successful transition into coaching.
  • B. Pris
    Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Praktan
    Praktan is a 2016 Bengali romantic drama film that explores the complexities of past relationships and chance encounters, directed by Nandita Roy and Shiboprosad Mukherjee.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9251654819080d1e3f0ed4ee9d3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750879d308190893bd8425aaa49d7 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.