Triple

T22022805
Position Surface form Disambiguated ID Type / Status
Subject Mattel, Inc. E543883 entity
Predicate tickerSymbol P1447 FINISHED
Object MAT
MAT is the stock ticker symbol for Mattel, Inc., a major American toy manufacturing and entertainment company known for brands like Barbie and Hot Wheels.
 E1514194 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: MAT | Statement: [Mattel, Inc., tickerSymbol, MAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAT
Context triple: [Mattel, Inc., tickerSymbol, MAT]
  • A. MAT
    MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
  • B. MAT
    MAT is the National Rail station code for Matlock railway station in Derbyshire, England.
  • C. Mat
    Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
  • D. MT
    MT is a central character in the animated anthology series "Infinity Train," known for being a reflective, rebellious denizen of the train who struggles with questions of identity and autonomy.
  • E. MT
    MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • 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: MAT
Triple: [Mattel, Inc., tickerSymbol, MAT]
Generated description
MAT is the stock ticker symbol for Mattel, Inc., a major American toy manufacturing and entertainment company known for brands like Barbie and Hot Wheels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAT
Target entity description: MAT is the stock ticker symbol for Mattel, Inc., a major American toy manufacturing and entertainment company known for brands like Barbie and Hot Wheels.
  • A. MAT
    MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
  • B. MAT
    MAT is the National Rail station code for Matlock railway station in Derbyshire, England.
  • C. Mat
    Mat is a common shortened form of the given name Matthew, often used as an informal or familiar nickname.
  • D. MT
    MT is a central character in the animated anthology series "Infinity Train," known for being a reflective, rebellious denizen of the train who struggles with questions of identity and autonomy.
  • E. MT
    MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738722a88190898c5fc5f37e5b5d completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a745e534881909a681b9f2234afa5 completed May 18, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7857e6dc819088b592cdff7d4cf3 completed May 18, 2026, 2:24 a.m.
Created at: April 16, 2026, 8:23 p.m.