Triple

T1404388
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Siebel Newsom E31656 entity
Predicate familyName P18 FINISHED
Object Siebel E31656 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: Siebel | Statement: [Jennifer Siebel Newsom, familyName, Siebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siebel
Context triple: [Jennifer Siebel Newsom, familyName, Siebel]
  • A. Siebel chosen
    Siebel is a surname most prominently associated with Jennifer Siebel Newsom, an American documentary filmmaker and the First Partner of California.
  • B. Siebel Systems
    Siebel Systems was a leading enterprise software company best known for pioneering customer relationship management (CRM) solutions for large organizations.
  • 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. Genesys
    Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
  • E. JD Edwards
    JD Edwards is an enterprise resource planning (ERP) software suite, originally developed by JD Edwards & Company and now owned by Oracle, used by businesses to manage finance, manufacturing, distribution, and other core operations.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace573b9288190ac91d8f6ea94fa20 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.