Triple

T28774214
Position Surface form Disambiguated ID Type / Status
Subject Aelia Zenonis E726489 entity
Predicate succeededBy P78 FINISHED
Object Empress Ariadne
Empress Ariadne was a Byzantine empress and influential political figure of the late 5th century, known for her role in imperial succession and as the wife of emperors Zeno and Anastasius I.
E1840291 NE FINISHED

How this triple was built (2 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: Empress Ariadne | Statement: [Aelia Zenonis, succeededBy, Empress Ariadne]
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: Empress Ariadne
Triple: [Aelia Zenonis, succeededBy, Empress Ariadne]
Generated description
Empress Ariadne was a Byzantine empress and influential political figure of the late 5th century, known for her role in imperial succession and as the wife of emperors Zeno and Anastasius I.

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_69f03199997c8190b6ae43fb19312443 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6582ab378819091ef03c4c3a374b6 completed May 2, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3ea0a308190a292c04ac7b0099c completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d9370ef48190845aa485c0356b6f completed June 7, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a24dd68154481909a11f3fa37288d2c completed June 7, 2026, 2:54 a.m.
Created at: April 28, 2026, 6:17 a.m.