Triple

T22276045
Position Surface form Disambiguated ID Type / Status
Subject Behind the Front E550608 entity
Predicate hasPart P35 FINISHED
Object Karma 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: Karma | Statement: [Behind the Front, hasPart, Karma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karma
Context triple: [Behind the Front, hasPart, Karma]
  • A. Karma
    Karma is an American singer and the daughter of rapper Ludacris, known for her appearances on reality television and social media presence.
  • B. Karma
    Karma is a popular open-source JavaScript test runner designed to execute tests in real browsers and headless environments, widely used in modern web development workflows.
  • C. Karma
    "Karma" is a pop song by Taylor Swift from her 2022 album *Midnights*, known for its catchy hook and playful take on the idea of cosmic justice.
  • D. Karma
    "Karma" is a 1986 Indian Hindi-language action drama film directed by Subhash Ghai, known for its patriotic themes and ensemble cast including Anupam Kher, Dilip Kumar, and Anil Kapoor.
  • E. Karma chosen
    Karma is a landmark 1969 spiritual jazz album by saxophonist Pharoah Sanders, renowned for its expansive, meditative compositions and influential role in avant-garde jazz.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.