Triple

T20309505
Position Surface form Disambiguated ID Type / Status
Subject Sandra Pullman E510197 entity
Predicate teamName P7598 FINISHED
Object UCOS 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: UCOS | Statement: [Sandra Pullman, teamName, UCOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCOS
Context triple: [Sandra Pullman, teamName, UCOS]
  • A. UCOS chosen
    UCOS is the fictional Unsolved Crime and Open Case Squad, the cold-case police unit featured in the British television drama series "New Tricks."
  • B. OS-9
    OS-9 is a real-time, multitasking operating system originally developed by Microware for embedded and industrial computing platforms.
  • C. LynxOS
    LynxOS is a real-time, POSIX-compliant operating system designed for embedded and mission-critical applications, particularly in aerospace, defense, and industrial systems.
  • D. VxWorks
    VxWorks is a real-time operating system (RTOS) widely used in embedded systems across industries such as aerospace, defense, telecommunications, and industrial automation.
  • E. OSII
    OSII is the acronym for the Office of Strategic Intelligence and Information, a governmental unit focused on gathering, analyzing, and disseminating critical intelligence and data for decision-making and security purposes.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6774286a88190800d6b062f3d7a9f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.