Triple

T14395952
Position Surface form Disambiguated ID Type / Status
Subject Evolution E356948 entity
Predicate developer P73 FINISHED
Object Novell E193774 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: Novell | Statement: [Evolution, developer, Novell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novell
Context triple: [Evolution, developer, Novell]
  • A. Novell chosen
    Novell was a prominent software company best known for its NetWare network operating system and contributions to enterprise networking and Linux technologies.
  • B. Computer Associates International
    Computer Associates International (now known as CA Technologies) was a major American enterprise software company recognized for its broad portfolio of mainframe, security, and IT management solutions.
  • C. Sostrata
    Sostrata is a character in Niccolò Machiavelli’s comedic play "The Mandrake," depicted as the mother of Lucrezia and a figure entangled in the play’s schemes surrounding fertility and deception.
  • D. Veritas Software
    Veritas Software was a prominent enterprise data management and storage software company known for its backup, recovery, and availability solutions before being acquired by Symantec.
  • E. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.