Triple

T4659070
Position Surface form Disambiguated ID Type / Status
Subject M151 MUTT E102482 entity
Predicate manufacturer P490 FINISHED
Object Kaiser Jeep E122504 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: Kaiser Jeep | Statement: [M151 MUTT, manufacturer, Kaiser Jeep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiser Jeep
Context triple: [M151 MUTT, manufacturer, Kaiser Jeep]
  • A. Kaiser Jeep chosen
    Kaiser Jeep was an American automobile manufacturer best known for producing civilian and military Jeep vehicles before its assets led to the formation of AM General.
  • B. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • C. Jeep Wrangler
    The Jeep Wrangler is an iconic American off-road SUV known for its rugged capability, removable doors and roof, and strong association with adventure driving.
  • D. Kaiser Motors
    Kaiser Motors was an American automobile manufacturer active in the mid-20th century, best known for producing post-World War II passenger cars under the Kaiser and Frazer brand names.
  • E. Mack
    Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
  • 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.