Triple

T1635608
Position Surface form Disambiguated ID Type / Status
Subject IBM THINK magazine E35353 entity
Predicate associatedWithBrand P2830 FINISHED
Object IBM THINK E1102 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: IBM THINK | Statement: [IBM THINK magazine, associatedWithBrand, IBM THINK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM THINK
Context triple: [IBM THINK magazine, associatedWithBrand, IBM THINK]
  • A. IBM chosen
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • B. Lenovo
    Lenovo is a multinational technology company best known for manufacturing and selling personal computers, laptops, smartphones, and other consumer electronics worldwide.
  • C. Compaq
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • D. IBM PC
    The IBM PC is the original 1981 personal computer model from IBM that became a de facto industry standard and helped popularize home and business computing worldwide.
  • E. IBM System z
    IBM System z is IBM’s family of mainframe computers known for high reliability, scalability, and support for enterprise workloads, including running Linux at large scale.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a17e8e08190afb78a953ab920ec completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58dbd0608190be207ab2bcdc9eef completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.