Triple

T22060185
Position Surface form Disambiguated ID Type / Status
Subject BPEL E545129 entity
Predicate initiallyDevelopedBy P32488 FINISHED
Object Siebel Systems NE NERFINISHED

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: Siebel Systems | Statement: [BPEL, initiallyDevelopedBy, Siebel Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siebel Systems
Context triple: [BPEL, initiallyDevelopedBy, Siebel Systems]
  • A. Siebel Systems chosen
    Siebel Systems was a leading enterprise software company best known for pioneering customer relationship management (CRM) solutions for large organizations.
  • B. Siebel
    Siebel is a surname most prominently associated with Jennifer Siebel Newsom, an American documentary filmmaker and the First Partner of California.
  • C. PeopleSoft
    PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
  • D. 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.
  • E. Perot Systems
    Perot Systems was an American information technology services and consulting company founded by Ross Perot that provided outsourcing, systems integration, and technology solutions to businesses and governments worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ba1c88190b4bc0c73f3cf04e1 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.