Triple

T14423010
Position Surface form Disambiguated ID Type / Status
Subject Piriform E357628 entity
Predicate acquiredBy P347 FINISHED
Object Avast E367569 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: Avast | Statement: [Piriform, acquiredBy, Avast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avast
Context triple: [Piriform, acquiredBy, Avast]
  • A. AVIRA
    AVIRA is an electronic music producer and DJ known for his melodic, progressive sound and collaborations within the trance and dance music scenes.
  • B. Avast Software s.r.o. chosen
    Avast Software s.r.o. is a Czech cybersecurity company best known for its antivirus and internet security products for consumers and businesses worldwide.
  • C. McAfee
    McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
  • D. Norton Antivirus
    Norton Antivirus is a widely used commercial antivirus and security software suite designed to protect computers and devices from malware, viruses, and other online threats.
  • E. AVG
    AVG refers to the American Volunteer Group, the World War II unit of volunteer U.S. pilots famously known as the Flying Tigers who flew for China against Japan before America’s official entry into the war.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.