Triple

T26195246
Position Surface form Disambiguated ID Type / Status
Subject Frankenstrat guitar E655078 entity
Predicate originalBodyManufacturer P13567 FINISHED
Object Boogie Bodies
Boogie Bodies was a guitar parts manufacturer known for producing high-quality replacement bodies and necks used by prominent rock guitarists in the 1970s and 1980s.
 E1714166 NE FINISHED

How this triple was built (3 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: Boogie Bodies | Statement: [Frankenstrat guitar, originalBodyManufacturer, Boogie Bodies]
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: Boogie Bodies
Triple: [Frankenstrat guitar, originalBodyManufacturer, Boogie Bodies]
Generated description
Boogie Bodies was a guitar parts manufacturer known for producing high-quality replacement bodies and necks used by prominent rock guitarists in the 1970s and 1980s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalBodyManufacturer
Context triple: [Frankenstrat guitar, originalBodyManufacturer, Boogie Bodies]
  • A. originalBody
    Indicates that one entity is the initial or primary physical or textual form from which another related version or representation is derived.
  • B. originalEquipment
    Indicates that something is the factory-installed or manufacturer-supplied component associated with another item, rather than an aftermarket or replacement part.
  • C. formerManufacturer
    Indicates that an entity previously manufactured another entity but no longer does so.
  • D. originallyBuiltBy chosen
    Indicates that something was first constructed or created by a particular agent, organization, or entity.
  • E. manufacturerType
    Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
  • F. None of above.

Provenance (6 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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69fbad1e94988190b86d447a68e65067 completed May 6, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11857e8e108190a14a25356741c0d6 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861e622c8190a73ab247d696435a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186bd48e48190a397267a101ef076 completed May 23, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69fba881b8e0819094790935152b99a1 completed May 6, 2026, 8:45 p.m.
Created at: April 26, 2026, 8:46 p.m.