Triple

T6525447
Position Surface form Disambiguated ID Type / Status
Subject 3M E151290 entity
Predicate shortName P43 FINISHED
Object 3M E151290 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: 3M | Statement: [3M, shortName, 3M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3M
Context triple: [3M, shortName, 3M]
  • A. 3M chosen
    3M is a multinational conglomerate corporation known for its wide range of innovative products in areas such as adhesives, abrasives, healthcare, and consumer goods, including the iconic Post-it Notes and Scotch tape.
  • B. MacDermid
    MacDermid is a surname of Scottish origin, commonly regarded as a variant spelling of McDiarmid.
  • C. Kellex Corporation
    Kellex Corporation was an engineering firm best known for designing and overseeing construction of the K-25 gaseous diffusion plant used in the Manhattan Project to enrich uranium during World War II.
  • D. Ansell
    Ansell is a minor character in the adventure video game "The Longest Journey," appearing as part of its richly detailed narrative world.
  • E. Goodrich Corporation
    Goodrich Corporation was a major American aerospace and defense company known for manufacturing aircraft systems and components before its acquisition by United Technologies Corporation.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada77b448190b6e0e07494fb4dd3 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5271b7c8190a602f6ec72efe04c completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.