Triple

T10185875
Position Surface form Disambiguated ID Type / Status
Subject Mastercard Incorporated E236905 entity
Predicate hasBrand P1500 FINISHED
Object Maestro E236906 NE FINISHED

How this triple was built (2 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: Maestro | Statement: [Mastercard Incorporated, hasBrand, Maestro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maestro
Context triple: [Mastercard Incorporated, hasBrand, Maestro]
  • A. Maestro
    Maestro is a biographical drama film centered on the life and relationships of legendary composer and conductor Leonard Bernstein.
  • B. Maestro
    Maestro is a powerful, villainous future version of the Hulk who possesses Bruce Banner’s intellect combined with the Hulk’s immense strength and rules as a tyrant in a post-apocalyptic world.
  • C. Maestro
    Maestro is a celebrated nickname for Swiss tennis legend Roger Federer, highlighting his graceful, masterful style of play.
  • D. Maestro chosen
    Maestro is a global debit card and electronic payment brand operated by Mastercard, commonly used for point-of-sale and ATM transactions.
  • E. Maestro
    Maestro is a Gibson-owned brand best known for its classic guitar effects pedals and related musical accessories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded36e9808190b385c5aec4889e00 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317a4d99c8190941322d3de2998f5 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.