Triple

T24202541
Position Surface form Disambiguated ID Type / Status
Subject Bobby Lashley E600018 entity
Predicate formedStable P155163 FINISHED
Object The Hurt Business
The Hurt Business was a dominant WWE faction led by Bobby Lashley, known for its sleek, businesslike presentation and ruthless in-ring dominance on the Raw brand.
 E1623780 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: The Hurt Business | Statement: [Bobby Lashley, formedStable, The Hurt Business]
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: The Hurt Business
Triple: [Bobby Lashley, formedStable, The Hurt Business]
Generated description
The Hurt Business was a dominant WWE faction led by Bobby Lashley, known for its sleek, businesslike presentation and ruthless in-ring dominance on the Raw brand.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formedStable
Context triple: [Bobby Lashley, formedStable, The Hurt Business]
  • A. formed
    Indicates that one entity came into existence, shape, or organization as a result of the actions or processes involving another entity.
  • B. formedState
    Indicates that an entity brought a particular state, condition, or configuration into existence or caused it to come about.
  • C. formedInState
    Indicates that an entity was created, established, or officially organized within a particular state or subnational jurisdiction.
  • D. formedTo
    Indicates that one entity was created, established, or organized for the purpose of serving, supporting, or enabling another entity or activity.
  • E. formedWithin
    Indicates that one entity was created, established, or came into existence inside the spatial or structural bounds of another entity.
  • F. None of above. chosen

Provenance (7 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca2d6708190ba20d00870d0af49 completed April 29, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd168ee0819095042a9dc0ce0a78 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbe44a6ec81908122919e4a460e6c completed May 22, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf3f6c4481908f8dcd0168ee16a2 completed May 22, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f1c9834064819082024233d9c6f98f completed April 29, 2026, 9:04 a.m.
Created at: April 17, 2026, 11:36 p.m.