Triple

T4442240
Position Surface form Disambiguated ID Type / Status
Subject CLU E96199 entity
Predicate influenced P9 FINISHED
Object Ada E8676 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: Ada | Statement: [CLU, influenced, Ada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada
Context triple: [CLU, influenced, Ada]
  • A. Ada
    Ada is the given name of Ada Yonath, the Nobel Prize–winning Israeli crystallographer renowned for her pioneering work on the structure of the ribosome.
  • B. Ada (programming language) chosen
    Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
  • C. Julia
    Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
  • D. Julia
    "Julia" is a 1977 American drama film, based on Lillian Hellman’s memoir, that explores the intense lifelong friendship between a playwright and a woman involved in anti-fascist resistance before World War II.
  • E. Julia
    Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355aef21c819088f168a23f1933a6 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61382d00481908b7c84f337b5cad7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.