Triple

T2949936
Position Surface form Disambiguated ID Type / Status
Subject Brock Lesnar E79794 entity
Predicate spouse P13 FINISHED
Object Sable
Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
 E314537 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: Sable | Statement: [Brock Lesnar, spouse, Sable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sable
Context triple: [Brock Lesnar, spouse, Sable]
  • A. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • B. Badger
    Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
  • C. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • D. Rusa unicolor
    Rusa unicolor, commonly known as the sambar deer, is a large, dark-coated deer native to the Indian subcontinent, southern China, and Southeast Asia.
  • E. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • 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: Sable
Triple: [Brock Lesnar, spouse, Sable]
Generated description
Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sable
Target entity description: Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
  • A. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • B. Badger
    Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
  • C. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • D. Rusa unicolor
    Rusa unicolor, commonly known as the sambar deer, is a large, dark-coated deer native to the Indian subcontinent, southern China, and Southeast Asia.
  • E. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98f95da88190a036a18f39f221c2 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc79f6d081908d3bbd52439f4d31 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.