Triple

T5286037
Position Surface form Disambiguated ID Type / Status
Subject Questions to Thalassius E119619 entity
Predicate audience P31 FINISHED
Object Thalassius
Thalassius is a figure or persona known primarily as the addressee of the ancient text "Questions to Thalassius," in which theological or philosophical questions are posed to him.
 E509011 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: Thalassius | Statement: [Questions to Thalassius, audience, Thalassius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thalassius
Context triple: [Questions to Thalassius, audience, Thalassius]
  • A. Azophi
    Azophi is the Latinized name of the 10th-century Persian astronomer Abd al-Rahman al-Sufi, renowned for his influential star catalog and work on constellations.
  • B. Tanaea
    Tanaea is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • C. Aegialos
    Aegialos was the ancient name of the Greek city-state later known as Sicyon, located in the northern Peloponnese.
  • D. Sophroniscus
    Sophroniscus was an Athenian stonemason and sculptor best known as the father of the philosopher Socrates.
  • E. Lychnidus
    Lychnidus was an ancient town in the Balkans, near Lake Ohrid, that served as an important stop along the Roman Via Egnatia trade and military route.
  • 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: Thalassius
Triple: [Questions to Thalassius, audience, Thalassius]
Generated description
Thalassius is a figure or persona known primarily as the addressee of the ancient text "Questions to Thalassius," in which theological or philosophical questions are posed to him.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thalassius
Target entity description: Thalassius is a figure or persona known primarily as the addressee of the ancient text "Questions to Thalassius," in which theological or philosophical questions are posed to him.
  • A. Azophi
    Azophi is the Latinized name of the 10th-century Persian astronomer Abd al-Rahman al-Sufi, renowned for his influential star catalog and work on constellations.
  • B. Tanaea
    Tanaea is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • C. Aegialos
    Aegialos was the ancient name of the Greek city-state later known as Sicyon, located in the northern Peloponnese.
  • D. Sophroniscus
    Sophroniscus was an Athenian stonemason and sculptor best known as the father of the philosopher Socrates.
  • E. Lychnidus
    Lychnidus was an ancient town in the Balkans, near Lake Ohrid, that served as an important stop along the Roman Via Egnatia trade and military route.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84d7de908190820c31fe6eb98dac completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e98e48819091c666cf7872a7f8 completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf0af33a088190a9302dfcfa632155 completed March 21, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69bf0b5143148190acf674627ff951ca completed March 21, 2026, 9:19 p.m.
Created at: March 20, 2026, 1:52 p.m.