Triple

T5934694
Position Surface form Disambiguated ID Type / Status
Subject Rinaldo E132014 entity
Predicate character P662 FINISHED
Object Argante
Argante is a character from Italian Renaissance epic poetry, notably appearing as a fierce Saracen warrior in Torquato Tasso’s "Jerusalem Delivered."
 E556392 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: Argante | Statement: [Rinaldo, character, Argante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argante
Context triple: [Rinaldo, character, Argante]
  • A. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • B. Corisande
    Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
  • C. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • D. Cyrrhus
    Cyrrhus was an ancient city in northern Syria, notable as a regional center in the Hellenistic and Roman periods.
  • E. Hagnon of Thasos
    Hagnon of Thasos was a 5th-century BCE Athenian general and statesman known for leading colonization efforts in northern Greece and playing a key role in the early history of Amphipolis.
  • 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: Argante
Triple: [Rinaldo, character, Argante]
Generated description
Argante is a character from Italian Renaissance epic poetry, notably appearing as a fierce Saracen warrior in Torquato Tasso’s "Jerusalem Delivered."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argante
Target entity description: Argante is a character from Italian Renaissance epic poetry, notably appearing as a fierce Saracen warrior in Torquato Tasso’s "Jerusalem Delivered."
  • A. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • B. Corisande
    Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
  • C. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • D. Cyrrhus
    Cyrrhus was an ancient city in northern Syria, notable as a regional center in the Hellenistic and Roman periods.
  • E. Hagnon of Thasos
    Hagnon of Thasos was a 5th-century BCE Athenian general and statesman known for leading colonization efforts in northern Greece and playing a key role in the early history of Amphipolis.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038a0c4e481908170d615330edb1a completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c069e450819096b268637ffcd219 completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c46fabf081908484ba066c25187b completed March 23, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4f21528819093a36c07e2637446 completed March 23, 2026, 4:43 a.m.
Created at: March 22, 2026, 4 p.m.