Triple

T7907967
Position Surface form Disambiguated ID Type / Status
Subject Mark Millar E183623 entity
Predicate creatorOf P806 FINISHED
Object Empress
Empress is a science fiction comic book series written by Mark Millar that follows a queen fleeing a tyrannical galactic emperor with her children across the universe.
 E696618 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: Empress | Statement: [Mark Millar, creatorOf, Empress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Empress
Context triple: [Mark Millar, creatorOf, Empress]
  • A. Empress
    Empress is a studio album by Nigerian singer Yemi Alade that showcases her Afro-pop sound and themes of female empowerment.
  • B. Empress
    Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
  • C. Empress Du
    Empress Du was a Ming dynasty empress consort of the Jiajing Emperor, noted for her brief tenure and early death before fully consolidating her position at court.
  • D. The Empress
    The Empress is a historic luxury hotel in Victoria, British Columbia, renowned for its grand Edwardian architecture and traditional afternoon tea service.
  • E. Her Imperial Majesty
    Her Imperial Majesty is the formal honorific style traditionally used to address a reigning empress or female sovereign of an empire.
  • 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: Empress
Triple: [Mark Millar, creatorOf, Empress]
Generated description
Empress is a science fiction comic book series written by Mark Millar that follows a queen fleeing a tyrannical galactic emperor with her children across the universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Empress
Target entity description: Empress is a science fiction comic book series written by Mark Millar that follows a queen fleeing a tyrannical galactic emperor with her children across the universe.
  • A. Empress
    Empress is a studio album by Nigerian singer Yemi Alade that showcases her Afro-pop sound and themes of female empowerment.
  • B. Empress
    Empress was the radio callsign used by Canadian Pacific Air Lines for its commercial flight operations.
  • C. Empress Du
    Empress Du was a Ming dynasty empress consort of the Jiajing Emperor, noted for her brief tenure and early death before fully consolidating her position at court.
  • D. The Empress
    The Empress is a historic luxury hotel in Victoria, British Columbia, renowned for its grand Edwardian architecture and traditional afternoon tea service.
  • E. Her Imperial Majesty
    Her Imperial Majesty is the formal honorific style traditionally used to address a reigning empress or female sovereign of an empire.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a59de00819099f1ce02bb469e75 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bd0024c81909679a45612bcb1a7 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1f864c819086d3a2b04061ead0 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb76aede388190a56e066c3302c35e completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:03 p.m.