Triple

T11543017
Position Surface form Disambiguated ID Type / Status
Subject Mercy E273718 entity
Predicate realName P9233 FINISHED
Object Angela Ziegler
Angela Ziegler is a Swiss doctor and guardian angel–themed support hero known as Mercy in the Overwatch video game series.
 E935279 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: Angela Ziegler | Statement: [Mercy, realName, Angela Ziegler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angela Ziegler
Context triple: [Mercy, realName, Angela Ziegler]
  • A. Angela Winkler
    Angela Winkler is a German actress acclaimed for her powerful performances in film, television, and theater since the 1970s.
  • B. Annette Ziegler
    Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
  • C. Anne Ziegler
    Anne Ziegler was a British soprano and actress best known for her popular duets and stage performances with her husband, tenor Webster Booth, during the mid-20th century.
  • D. Christine Hartmann
    Christine Hartmann is a central fictional character in Sebastian Faulks’s novel "The Girl at the Lion d'Or," around whom much of the story’s emotional and political drama revolves.
  • E. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • 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: Angela Ziegler
Triple: [Mercy, realName, Angela Ziegler]
Generated description
Angela Ziegler is a Swiss doctor and guardian angel–themed support hero known as Mercy in the Overwatch video game series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angela Ziegler
Target entity description: Angela Ziegler is a Swiss doctor and guardian angel–themed support hero known as Mercy in the Overwatch video game series.
  • A. Angela Winkler
    Angela Winkler is a German actress acclaimed for her powerful performances in film, television, and theater since the 1970s.
  • B. Annette Ziegler
    Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
  • C. Anne Ziegler
    Anne Ziegler was a British soprano and actress best known for her popular duets and stage performances with her husband, tenor Webster Booth, during the mid-20th century.
  • D. Christine Hartmann
    Christine Hartmann is a central fictional character in Sebastian Faulks’s novel "The Girl at the Lion d'Or," around whom much of the story’s emotional and political drama revolves.
  • E. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e09eec8190894069d86b79183d completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e71392d0388190971bab8906e5e6df completed April 21, 2026, 6:05 a.m.
NEDg Description generation batch_69e720f4015c81909ba7973c3e781985 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e75a7a04c88190bb8f3dd3f3e435ef completed April 21, 2026, 11:07 a.m.
Created at: April 8, 2026, 9:37 p.m.