Triple

T7771706
Position Surface form Disambiguated ID Type / Status
Subject Ma Sichun E179087 entity
Predicate alsoKnownAs P39 FINISHED
Object Sandra Ma
Sandra Ma is a Chinese actress known for her acclaimed performances in contemporary Chinese film and television dramas.
E690193 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: Sandra Ma | Statement: [Ma Sichun, alsoKnownAs, Sandra Ma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Ma
Context triple: [Ma Sichun, alsoKnownAs, Sandra Ma]
  • A. Sandra
    Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
  • B. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • C. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • D. Sandra
    Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
  • E. Sandra Voe
    Sandra Voe is a Scottish actress known for her work in film, television, and theatre, often appearing in character-driven dramas.
  • 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: Sandra Ma
Triple: [Ma Sichun, alsoKnownAs, Sandra Ma]
Generated description
Sandra Ma is a Chinese actress known for her acclaimed performances in contemporary Chinese film and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sandra Ma
Target entity description: Sandra Ma is a Chinese actress known for her acclaimed performances in contemporary Chinese film and television dramas.
  • A. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • B. Sandra
    Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
  • C. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • D. Sandra
    Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
  • E. Sandra Voe
    Sandra Voe is a Scottish actress known for her work in film, television, and theatre, often appearing in character-driven dramas.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7045ebae88190a04c8f972795e615 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c922ac9c108190a9f00381d951b20d completed March 29, 2026, 1:01 p.m.
NEDg Description generation batch_69c9234639248190915f5f06a50703f8 completed March 29, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69c9236e0fdc8190befea80fef7e6396 completed March 29, 2026, 1:04 p.m.
Created at: March 27, 2026, 4:11 p.m.