Triple

T5520988
Position Surface form Disambiguated ID Type / Status
Subject Wilfred Corrigan E144805 entity
Predicate founded P104 FINISHED
Object LSI Logic E79824 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: LSI Logic | Statement: [Wilfred Corrigan, founded, LSI Logic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSI Logic
Context triple: [Wilfred Corrigan, founded, LSI Logic]
  • A. LSI Logic chosen
    LSI Logic was a semiconductor company best known for designing and manufacturing custom and standard integrated circuits, particularly ASICs and storage-related chips, for computing and communications markets.
  • B. Intersil
    Intersil is an American semiconductor company known for designing and manufacturing analog, mixed-signal, and power management integrated circuits for a wide range of electronic applications.
  • C. Xicor
    Xicor was a semiconductor company best known for designing and manufacturing non-volatile memory and analog integrated circuits.
  • D. LSI
    LSI is the three-letter IATA airport code for Sumburgh Airport in the Shetland Islands, Scotland.
  • E. Marvell Technology
    Marvell Technology is a semiconductor company known for designing and developing data infrastructure and storage solutions for enterprise, cloud, automotive, and carrier markets.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f7227a8819080c9f074afe0eaac completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ccba3f08190beae13063bbc4484 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:33 p.m.