Triple

T19909464
Position Surface form Disambiguated ID Type / Status
Subject Fragments of Quadratus E478506 entity
Predicate author P4 FINISHED
Object Quadratus
Quadratus was an early Christian apologist, traditionally regarded as one of the first to present a written defense of the Christian faith to a Roman emperor.
E1400696 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: Quadratus | Statement: [Fragments of Quadratus, author, Quadratus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quadratus
Context triple: [Fragments of Quadratus, author, Quadratus]
  • A. Quadratus
    Quadratus is a character from the video game "What You Will," likely serving as a notable figure within its narrative or gameplay.
  • B. Trapezus
    Trapezus was an ancient Greek city on the southern coast of the Black Sea, known as a key port and later as the nucleus of the medieval Empire of Trebizond.
  • C. Facio
    Facio is a surname of Spanish and Italian origin borne by various notable individuals, including figures in politics, the arts, and academia.
  • D. Fascian
    Fascian is a regional dialect of the Ladin language spoken in parts of northern Italy.
  • E. Schievelbein
    Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
  • 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: Quadratus
Triple: [Fragments of Quadratus, author, Quadratus]
Generated description
Quadratus was an early Christian apologist, traditionally regarded as one of the first to present a written defense of the Christian faith to a Roman emperor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Quadratus
Target entity description: Quadratus was an early Christian apologist, traditionally regarded as one of the first to present a written defense of the Christian faith to a Roman emperor.
  • A. Quadratus
    Quadratus is a character from the video game "What You Will," likely serving as a notable figure within its narrative or gameplay.
  • B. Trapezus
    Trapezus was an ancient Greek city on the southern coast of the Black Sea, known as a key port and later as the nucleus of the medieval Empire of Trebizond.
  • C. Facio
    Facio is a surname of Spanish and Italian origin borne by various notable individuals, including figures in politics, the arts, and academia.
  • D. Fascian
    Fascian is a regional dialect of the Ladin language spoken in parts of northern Italy.
  • E. Schievelbein
    Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598e7d988190b8759100a147f2c1 completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea4bd4d4819091827b2274413c13 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ed33b03c8190b7270172949b78ab completed May 16, 2026, 4:06 a.m.
NED2 Entity disambiguation (via description) batch_6a07ed9743dc8190930f07ee46146beb completed May 16, 2026, 4:07 a.m.
Created at: April 10, 2026, 1:53 p.m.