Triple

T1273282
Position Surface form Disambiguated ID Type / Status
Subject Satya Nadella E15756 entity
Predicate employerBefore P1910 FINISHED
Object Sun Microsystems E12656 NE FINISHED

How this triple was built (3 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: Sun Microsystems | Statement: [Satya Nadella, employerBefore, Sun Microsystems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Microsystems
Context triple: [Satya Nadella, employerBefore, Sun Microsystems]
  • A. Sun Microsystems chosen
    Sun Microsystems was a pioneering American technology company best known for developing the Java programming language, the Solaris operating system, and high-performance networked computer systems.
  • B. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • C. Oracle Corporation
    Oracle Corporation is a major American multinational technology company best known for its database software, cloud services, and enterprise software products.
  • D. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • E. BEA Systems
    BEA Systems was a software company best known for its enterprise middleware and application server products that played a major role in early Java-based web and enterprise computing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employerBefore
Context triple: [Satya Nadella, employerBefore, Sun Microsystems]
  • A. formerEmployer chosen
    Indicates that one entity previously employed the other but no longer does so.
  • B. employer
    Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
  • C. employerType
    Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
  • D. workedAs
    Indicates that an entity held a particular job, role, or position, performing work in that capacity.
  • E. namedForEmployer
    Indicates that an entity is named after, or in honor of, its employer.
  • F. None of above.

Provenance (4 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c31602b8819087a57e8d390cae7a completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf1fa1148190a8a8a5b3e34946f0 completed March 8, 2026, 12:13 a.m.
PD Predicate disambiguation batch_69a4bee0be808190a8ccac6a41851fdd completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.