Triple

T6687599
Position Surface form Disambiguated ID Type / Status
Subject Ida Green E152137 entity
Predicate associatedWith P37 FINISHED
Object Texas Instruments E369 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: Texas Instruments | Statement: [Ida Green, associatedWith, Texas Instruments]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas Instruments
Context triple: [Ida Green, associatedWith, Texas Instruments]
  • A. Texas Instruments chosen
    Texas Instruments is a major American technology company best known for designing and manufacturing semiconductors and calculators used worldwide.
  • B. Flextronics International
    Flextronics International is a global electronics manufacturing services company that designs, builds, and services products for leading technology brands across various industries.
  • C. National Semiconductor
    National Semiconductor was a major American semiconductor company known for its analog and mixed-signal integrated circuits, later acquired by Texas Instruments.
  • D. Signetics
    Signetics was an early integrated circuit and semiconductor manufacturer that became known for pioneering memory and logic chips before being acquired by Philips.
  • E. Texas Instruments Explorer II
    The Texas Instruments Explorer II was a second-generation Lisp machine workstation designed for AI research and symbolic processing in the late 1980s.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14e58708190a4ba8ff1c085f160 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b31fa0819089c4debbbbce9d22 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:04 p.m.