Triple

T10164673
Position Surface form Disambiguated ID Type / Status
Subject Zeno E235176 entity
Predicate birthName P65 FINISHED
Object Tarasis
Tarasis was the original name of Zeno, the 5th-century Eastern Roman (Byzantine) emperor who ruled during a period of significant internal turmoil and external threats.
 E845675 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: Tarasis | Statement: [Zeno, birthName, Tarasis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarasis
Context triple: [Zeno, birthName, Tarasis]
  • A. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • B. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • C. Thoosa
    Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
  • D. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • E. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • 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: Tarasis
Triple: [Zeno, birthName, Tarasis]
Generated description
Tarasis was the original name of Zeno, the 5th-century Eastern Roman (Byzantine) emperor who ruled during a period of significant internal turmoil and external threats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarasis
Target entity description: Tarasis was the original name of Zeno, the 5th-century Eastern Roman (Byzantine) emperor who ruled during a period of significant internal turmoil and external threats.
  • A. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • B. Azarethes
    Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
  • C. Thoosa
    Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
  • D. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • E. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6b96dc8190ae37d0d28e4c393b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300d672fc8190ad5b937d02a737fd completed April 6, 2026, 12:39 a.m.
NEDg Description generation batch_69d30254aabc8190966a4398c59a851e completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30305924c8190998cbefa372dca9a completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:10 p.m.