Triple

T5442537
Position Surface form Disambiguated ID Type / Status
Subject Bill Conti E122168 entity
Predicate hasSurname P18 FINISHED
Object Conti E122168 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: Conti | Statement: [Bill Conti, hasSurname, Conti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conti
Context triple: [Bill Conti, hasSurname, Conti]
  • A. Conti chosen
    Conti is an Italian surname most notably associated with Bill Conti, the American composer famous for his film scores such as the "Rocky" theme.
  • B. ContiTech
    ContiTech is a division of Continental AG that specializes in rubber and plastics technology, producing engineered products such as hoses, conveyor belts, and vibration control components for various industries.
  • C. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • D. Arvato
    Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
  • E. The Continental
    The Continental is a famous dance song that became widely known through its featured performance in the 1934 musical film "The Gay Divorcee."
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cb5eec8190bdf2ef0bdea84a62 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41302d588190afa5906d0e3dd891 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.