Triple

T23039802
Position Surface form Disambiguated ID Type / Status
Subject Chuck Jordan E573702 entity
Predicate employer P7 FINISHED
Object GM Design
GM Design is the automotive styling and design division of General Motors responsible for creating the visual and aesthetic aspects of the company’s vehicles.
 E1567504 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: GM Design | Statement: [Chuck Jordan, employer, GM Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GM Design
Context triple: [Chuck Jordan, employer, GM Design]
  • A. GM Motorama
    GM Motorama was General Motors’ traveling auto show of the 1950s that showcased futuristic concept cars and new production models to the public.
  • B. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • C. GM
    GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
  • D. GM
    GM is the station code used to identify GMA Kamuning station in the Manila Metro Rail Transit system.
  • E. GM
    GM is the vehicle registration code used on license plates for the municipality of Gornji Milanovac in Serbia.
  • 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: GM Design
Triple: [Chuck Jordan, employer, GM Design]
Generated description
GM Design is the automotive styling and design division of General Motors responsible for creating the visual and aesthetic aspects of the company’s vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GM Design
Target entity description: GM Design is the automotive styling and design division of General Motors responsible for creating the visual and aesthetic aspects of the company’s vehicles.
  • A. GM Motorama
    GM Motorama was General Motors’ traveling auto show of the 1950s that showcased futuristic concept cars and new production models to the public.
  • B. GM
    GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • C. GM
    GM is the vehicle registration code used on license plates for vehicles registered in the Oberbergischer Kreis district in North Rhine-Westphalia, Germany.
  • D. GM
    GM is the station code used to identify GMA Kamuning station in the Manila Metro Rail Transit system.
  • E. GM
    GM is the vehicle registration code used on license plates for the municipality of Gornji Milanovac in Serbia.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18512df708190a6892e743a289c74 completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2ba6cd48190adfde89532b51f43 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0c0332a0288190a51b29aa03e1969a completed May 19, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0c04d4722c8190967b59808f6c1e36 completed May 19, 2026, 6:36 a.m.
Created at: April 17, 2026, 3:53 p.m.