Triple

T5726036
Position Surface form Disambiguated ID Type / Status
Subject Claes E126266 entity
Predicate hasVariant P455 FINISHED
Object Claas
Claas is a given name and surname of Germanic origin, used as a variant of names like Claes or Klaus.
 E541412 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: Claas | Statement: [Claes, hasVariant, Claas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Claas
Context triple: [Claes, hasVariant, Claas]
  • A. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • B. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • C. Massey-Ferguson
    Massey-Ferguson is a major agricultural machinery manufacturer best known for its tractors and farm equipment used worldwide.
  • D. John Deere
    John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
  • E. M561 tractor unit
    The M561 tractor unit is the front, powered section of the articulated M561 Gama Goat military vehicle, housing the engine, driver, and steering components for off-road transport operations.
  • 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: Claas
Triple: [Claes, hasVariant, Claas]
Generated description
Claas is a given name and surname of Germanic origin, used as a variant of names like Claes or Klaus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Claas
Target entity description: Claas is a given name and surname of Germanic origin, used as a variant of names like Claes or Klaus.
  • A. New Holland
    New Holland is the fictional, retro-styled American suburb that serves as the primary setting for Tim Burton’s animated film "Frankenweenie."
  • B. New Holland
    New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • C. Massey-Ferguson
    Massey-Ferguson is a major agricultural machinery manufacturer best known for its tractors and farm equipment used worldwide.
  • D. John Deere
    John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
  • E. M561 tractor unit
    The M561 tractor unit is the front, powered section of the articulated M561 Gama Goat military vehicle, housing the engine, driver, and steering components for off-road transport operations.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250a7f6c8190a264935086608186 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a86eea0819090bf6f9952d8dcc9 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2ef9488190ac0111cb6a94b1d0 completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:47 p.m.