Triple

T1969399
Position Surface form Disambiguated ID Type / Status
Subject Gallic Empire E42763 entity
Predicate hasEmperor P10335 FINISHED
Object Marius
Marius was a short-lived 3rd-century Roman usurper who briefly ruled the breakaway Gallic Empire during the Crisis of the Third Century.
 E219392 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: Marius | Statement: [Gallic Empire, hasEmperor, Marius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marius
Context triple: [Gallic Empire, hasEmperor, Marius]
  • A. Marius
    Marius is the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
  • B. Marius
    Marius is the family name (nomen) of the prominent Roman general and statesman Gaius Marius, known for his military reforms and multiple consulships in the late Roman Republic.
  • C. Marius Pontmercy
    Marius Pontmercy is a central character in Victor Hugo’s novel *Les Misérables*, a young idealistic law student and revolutionary who falls in love with Cosette.
  • D. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • E. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • 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: Marius
Triple: [Gallic Empire, hasEmperor, Marius]
Generated description
Marius was a short-lived 3rd-century Roman usurper who briefly ruled the breakaway Gallic Empire during the Crisis of the Third Century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marius
Target entity description: Marius was a short-lived 3rd-century Roman usurper who briefly ruled the breakaway Gallic Empire during the Crisis of the Third Century.
  • A. Marius
    Marius is the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
  • B. Marius
    Marius is the family name (nomen) of the prominent Roman general and statesman Gaius Marius, known for his military reforms and multiple consulships in the late Roman Republic.
  • C. Marius Pontmercy
    Marius Pontmercy is a central character in Victor Hugo’s novel *Les Misérables*, a young idealistic law student and revolutionary who falls in love with Cosette.
  • D. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • E. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6e40f081909682afd84f4e9338 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd9fa4cc81909734a147626da4d1 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.