Triple

T17666937
Position Surface form Disambiguated ID Type / Status
Subject Bell 407 E440406 entity
Predicate manufacturerDesignation P82737 FINISHED
Object Model 407
Model 407 is the manufacturer’s designation for the Bell 407, a popular single-engine civil utility helicopter known for its reliability and versatility.
E1280940 NE FINISHED

How this triple was built (4 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: Model 407 | Statement: [Bell 407, manufacturerDesignation, Model 407]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Model 407
Context triple: [Bell 407, manufacturerDesignation, Model 407]
  • A. Modell
    Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
  • B. M-40
    M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
  • C. M-40
    M-40 is a major ring road encircling Madrid, Spain, serving as a key arterial route that connects various suburbs and municipalities around the city.
  • D. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • E. F70
    F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Model 407
Triple: [Bell 407, manufacturerDesignation, Model 407]
Generated description
Model 407 is the manufacturer’s designation for the Bell 407, a popular single-engine civil utility helicopter known for its reliability and versatility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Model 407
Target entity description: Model 407 is the manufacturer’s designation for the Bell 407, a popular single-engine civil utility helicopter known for its reliability and versatility.
  • A. Modell
    Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
  • B. M-40
    M-40 is a state trunkline highway in Michigan that runs north–south through several counties, including Allegan County.
  • C. M-40
    M-40 is a major ring road encircling Madrid, Spain, serving as a key arterial route that connects various suburbs and municipalities around the city.
  • D. M-77
    M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
  • E. F70
    F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
  • F. None of above. chosen

Provenance (5 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46eaaaec8819086977d8a5210c44e completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02165e842c8190bb28bd8a4b1438ad completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021838dae081908bdd74733bb272ee completed May 11, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0218ba7f14819097e07caccdf8ff83 completed May 11, 2026, 5:58 p.m.
Created at: April 10, 2026, 9:57 a.m.