Triple

T15714914
Position Surface form Disambiguated ID Type / Status
Subject Tiberius II Constantine E380935 entity
Predicate coRulerWith P13111 FINISHED
Object Maurice
Maurice was a late 6th-century Byzantine emperor known for his military campaigns and administrative reforms that temporarily strengthened the Eastern Roman Empire.
 E1174057 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: Maurice | Statement: [Tiberius II Constantine, coRulerWith, Maurice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maurice
Context triple: [Tiberius II Constantine, coRulerWith, Maurice]
  • A. Maurice
    Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • B. Maurice
    Maurice is the elderly, emotionally complex protagonist of the 2006 British film "Venus," portrayed by Peter O'Toole.
  • C. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • D. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • E. Marcel
    Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
  • 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: Maurice
Triple: [Tiberius II Constantine, coRulerWith, Maurice]
Generated description
Maurice was a late 6th-century Byzantine emperor known for his military campaigns and administrative reforms that temporarily strengthened the Eastern Roman Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maurice
Target entity description: Maurice was a late 6th-century Byzantine emperor known for his military campaigns and administrative reforms that temporarily strengthened the Eastern Roman Empire.
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • C. Maurice
    Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • D. Maurice
    Maurice is the elderly, emotionally complex protagonist of the 2006 British film "Venus," portrayed by Peter O'Toole.
  • E. Marcel
    Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f90aea0819082a9e9fe0f7780b0 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f22fc88190820ecb171041136d completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83ff8c7481909fbc502143c1852f completed May 9, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:45 a.m.