Triple

T7858412
Position Surface form Disambiguated ID Type / Status
Subject IPX/SPX E182433 entity
Predicate developedBy 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: [IPX/SPX, developedBy, Novell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novell
Context triple: [IPX/SPX, developedBy, 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. 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.
  • C. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • D. Symantec
    Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
  • E. Netscape Communications Corporation
    Netscape Communications Corporation was a pioneering web browser company of the 1990s whose Netscape Navigator played a central role in the early popularization of the World Wide Web.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a787c8c8190bcd9ed76cc7aa4c5 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b38d7e08190a3459d1e0c6f4c6d completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:52 p.m.