Triple

T14812449
Position Surface form Disambiguated ID Type / Status
Subject Masatoshi Shima E348215 entity
Predicate employer P7 FINISHED
Object Zilog E654560 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: Zilog | Statement: [Masatoshi Shima, employer, Zilog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zilog
Context triple: [Masatoshi Shima, employer, Zilog]
  • A. Zilog chosen
    Zilog is an American microprocessor company best known for creating the influential Z80 CPU, widely used in early personal computers and embedded systems.
  • B. Signetics
    Signetics was an early integrated circuit and semiconductor manufacturer that became known for pioneering memory and logic chips before being acquired by Philips.
  • C. MOS Technology
    MOS Technology was an American semiconductor company best known for designing the influential 6502 microprocessor used in many early home computers and game consoles.
  • D. Mostek
    Mostek was an American semiconductor company known for its influential role in early microprocessor, memory, and bus interface technologies during the 1970s and 1980s.
  • E. Cromemco
    Cromemco was an early microcomputer company known for producing advanced, high-performance S-100 bus systems and peripherals used in both hobbyist and professional environments.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24cca0b88190b20a6c7dd77b8146 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:48 a.m.