Triple

T4659071
Position Surface form Disambiguated ID Type / Status
Subject M151 MUTT E102482 entity
Predicate manufacturer P490 FINISHED
Object AM General E21857 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: AM General | Statement: [M151 MUTT, manufacturer, AM General]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AM General
Context triple: [M151 MUTT, manufacturer, AM General]
  • A. AM General chosen
    AM General is an American heavy vehicle manufacturer best known for developing the military Humvee and its civilian counterpart, the Hummer.
  • B. MAN Truck & Bus
    MAN Truck & Bus is a major European commercial vehicle manufacturer specializing in trucks, buses, and diesel engines, headquartered in Germany and operating worldwide.
  • C. Mack
    Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
  • D. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • E. GMC
    GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63271a548190bd9662b69a45d9a5 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf9564c819094b9340570a7616b completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.