Triple

T5467124
Position Surface form Disambiguated ID Type / Status
Subject Malkhut E122737 entity
Predicate receivesFrom P4382 FINISHED
Object Yesod E467070 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: Yesod | Statement: [Malkhut, receivesFrom, Yesod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yesod
Context triple: [Malkhut, receivesFrom, Yesod]
  • A. Yesod chosen
    Yesod is the ninth sefirah in Kabbalistic mysticism, associated with foundation, connection, and the channeling of spiritual energy into the material world.
  • B. The Rack
    The Rack is a 1956 courtroom drama film about the psychological and moral aftermath of a Korean War veteran’s imprisonment and alleged collaboration with the enemy.
  • C. Caddy
    Caddy is a central character in William Faulkner’s novel "The Sound and the Fury," known for her complex role within the Compson family and her symbolic significance to the story’s themes of loss and decay.
  • D. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • E. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9218621c819093267a012bd49a35 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf488da1d8819091e1cad0500b1747 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:08 p.m.