Triple

T4768864
Position Surface form Disambiguated ID Type / Status
Subject Sefirot E105875 entity
Predicate element P7734 FINISHED
Object Yesod
Yesod is the ninth sefirah in Kabbalistic mysticism, associated with foundation, connection, and the channeling of spiritual energy into the material world.
E467070 NE FINISHED

How this triple was built (4 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: [Sefirot, element, Yesod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yesod
Context triple: [Sefirot, element, Yesod]
  • A. 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.
  • B. 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.
  • C. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • D. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • E. Rubinius
    Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yesod
Triple: [Sefirot, element, Yesod]
Generated description
Yesod is the ninth sefirah in Kabbalistic mysticism, associated with foundation, connection, and the channeling of spiritual energy into the material world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yesod
Target entity description: Yesod is the ninth sefirah in Kabbalistic mysticism, associated with foundation, connection, and the channeling of spiritual energy into the material world.
  • A. 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.
  • B. 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.
  • C. Elm
    Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • D. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • E. Rubinius
    Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
  • F. None of above. chosen

Provenance (5 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6537eb80819096e0ae906c59d605 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a8f7318819088839becd09577ce completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3d2063e48190afb3fdfd5ad6749f completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3d9b311c8190906c3367257564dc completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:21 p.m.