Triple

T17939262
Position Surface form Disambiguated ID Type / Status
Subject Kartik E448544 entity
Predicate follows P134 FINISHED
Object Ashwin NE NERFINISHED

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: Ashwin | Statement: [Kartik, follows, Ashwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashwin
Context triple: [Kartik, follows, Ashwin]
  • A. Ashwin chosen
    Ashwin is a person who is followed by Kartik, suggesting Ashwin may be someone Kartik admires or keeps up with.
  • B. Ravindra Jadeja
    Ravindra Jadeja is an Indian international cricketer renowned as one of the world's leading all-rounders, known for his left-arm spin, dynamic batting, and exceptional fielding.
  • C. Murali Vijay
    Murali Vijay is an Indian cricketer and opening batsman known for his performances in international Test cricket and domestic T20 tournaments.
  • D. Dhawan
    Dhawan is a common Indian surname, particularly found among Punjabi communities, associated with various notable figures in fields such as entertainment, sports, and public life.
  • E. Jadeja
    The Jadeja are a Rajput clan historically prominent as rulers and landholders in parts of Gujarat and surrounding regions in western India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9455fc81908bf595f9ed42c624 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.