Triple

T13988945
Position Surface form Disambiguated ID Type / Status
Subject method acting E336516 entity
Predicate alsoKnownAs P39 FINISHED
Object the Method E264316 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: the Method | Statement: [method acting, alsoKnownAs, the Method]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Method
Context triple: [method acting, alsoKnownAs, the Method]
  • A. The Method chosen
    The Method is a Russian psychological crime drama series featuring Svetlana Khodchenkova in a prominent role.
  • B. The Method
    The Method is an ancient mathematical treatise by Archimedes that uses mechanical reasoning to discover and justify geometric theorems.
  • C. Foundations of Method
    Foundations of Method is an influential educational theory book by William Heard Kilpatrick that explores the principles and philosophy underlying effective teaching and learning.
  • D. Eiffel method
    The Eiffel method is a software engineering approach that emphasizes object-oriented design, correctness by construction, and the use of contracts to ensure software reliability.
  • E. Gregory method
    The Gregory method is a numerical integration technique that approximates definite integrals using a series expansion based on finite differences.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea537408190bb9d35963886803f completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9604cc819088cde0ad8271ad48 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.