Triple

T249746
Position Surface form Disambiguated ID Type / Status
Subject Yo-Yo Ma E5117 entity
Predicate familyName P18 FINISHED
Object Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
 E32300 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: Ma | Statement: [Yo-Yo Ma, familyName, Ma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ma
Context triple: [Yo-Yo Ma, familyName, Ma]
  • A. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • B. Malia
    Malia is the elder daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
  • C. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • D. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • E. MIA
    MIA is the standard three-letter abbreviation used to represent the Miami Marlins Major League Baseball team.
  • 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: Ma
Triple: [Yo-Yo Ma, familyName, Ma]
Generated description
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ma
Target entity description: Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • A. Manf
    Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
  • B. Malia
    Malia is the elder daughter of former U.S. President Barack Obama and former First Lady Michelle Obama.
  • C. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • D. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • E. MIA
    MIA is the standard three-letter abbreviation used to represent the Miami Marlins Major League Baseball team.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d3728f0819086214ccc2db2305a completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37373426881909ce8766ad9c5778c completed Feb. 28, 2026, 11 p.m.
NEDg Description generation batch_69a373dfb6c0819092ebfe465b7be3c9 completed Feb. 28, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69a3748a9ea4819080b2cea1f1b4afbc completed Feb. 28, 2026, 11:04 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.