Triple

T11214076
Position Surface form Disambiguated ID Type / Status
Subject John L. Hennessy E265385 entity
Predicate knownFor P22 FINISHED
Object MIPS architecture E37330 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: MIPS architecture | Statement: [John L. Hennessy, knownFor, MIPS architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIPS architecture
Context triple: [John L. Hennessy, knownFor, MIPS architecture]
  • A. MIPS
    MIPS is an infrared imaging and photometry instrument that operated aboard the Spitzer Space Telescope, used to study celestial objects at multiple mid- to far-infrared wavelengths.
  • B. MIPS chosen
    MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
  • C. RISC architecture
    RISC architecture is a CPU design philosophy that uses a small, highly optimized set of simple instructions to achieve high performance and efficiency.
  • D. MIPS R5000
    The MIPS R5000 is a 64-bit RISC microprocessor from the MIPS family, widely used in mid-1990s workstations and embedded systems for its balance of performance and cost.
  • E. MIPS IV
    MIPS IV is a 64-bit RISC instruction set architecture in the MIPS family, designed to enhance performance and support advanced computing features over its predecessors.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d7f47c8190b78c640ff1a01943 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e497569efc8190b8e9cb6b1db3f94d completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.