Triple

T2254210
Position Surface form Disambiguated ID Type / Status
Subject Joseph Greenberg E49682 entity
Predicate developedMethod P73 FINISHED
Object mass lexical comparison LITERAL 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: mass lexical comparison | Statement: [Joseph Greenberg, developedMethod, mass lexical comparison]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developedMethod
Context triple: [Joseph Greenberg, developedMethod, mass lexical comparison]
  • A. developedThrough
    Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
  • B. developed chosen
    Indicates that one entity created, designed, or brought another entity into a more advanced or complete state through effort or work.
  • C. developedAs
    Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
  • D. inspiredDevelopmentOf
    Indicates that one entity served as a motivating influence or creative stimulus leading to the development or creation of another entity.
  • E. developedInCase
    Indicates that something (such as a method, argument, or principle) was formulated, articulated, or established within the context of a particular case.
  • F. None of above.

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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69abbdb34c148190b51e99f540f97204 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.