Triple

T12250398
Position Surface form Disambiguated ID Type / Status
Subject Lysis E291955 entity
Predicate featuresCharacter P626 FINISHED
Object Lysis E291955 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: Lysis | Statement: [Lysis, featuresCharacter, Lysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysis
Context triple: [Lysis, featuresCharacter, Lysis]
  • A. Lysis chosen
    Lysis is a Platonic dialogue that explores the nature of friendship through a conversation between Socrates and two young boys, Lysis and Menexenus.
  • B. Lysis of Tarentum
    Lysis of Tarentum was an ancient Greek Pythagorean philosopher and teacher known for instructing notable figures such as the Theban general Epaminondas.
  • C. Deadly Symbiosis
    Deadly Symbiosis is a sociological work by Loïc Wacquant that analyzes the intertwined dynamics of race, mass incarceration, and social inequality in the United States.
  • D. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • E. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.