Triple

T22654010
Position Surface form Disambiguated ID Type / Status
Subject Wild E559173 entity
Predicate hasNotableBearer P458 FINISHED
Object John Wild
John Wild is a relatively obscure individual whose specific notability is not clearly established from the given information.
 E1547757 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: John Wild | Statement: [Wild, hasNotableBearer, John Wild]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Wild
Context triple: [Wild, hasNotableBearer, John Wild]
  • A. John Black
    John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
  • B. John Black
    John Black is a long-running, central character on the American soap opera "Days of Our Lives," known for his complex past, shifting identities, and dramatic romances.
  • C. John Black
    John Black is a cryptographer and computer scientist known for his research in symmetric-key cryptography and collaboration with fellow cryptographer Phillip Rogaway.
  • D. Edward Wild
    Edward Wild is a cinematographer known for his work on feature films such as the romantic comedy "Chalet Girl."
  • E. John Wildman
    John Wildman was a prominent radical politician and agitator during the English Civil War and Interregnum, closely associated with the Levellers and early democratic ideas.
  • 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: John Wild
Triple: [Wild, hasNotableBearer, John Wild]
Generated description
John Wild is a relatively obscure individual whose specific notability is not clearly established from the given information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Wild
Target entity description: John Wild is a relatively obscure individual whose specific notability is not clearly established from the given information.
  • A. John Black
    John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
  • B. John Black
    John Black is a long-running, central character on the American soap opera "Days of Our Lives," known for his complex past, shifting identities, and dramatic romances.
  • C. John Black
    John Black is a cryptographer and computer scientist known for his research in symmetric-key cryptography and collaboration with fellow cryptographer Phillip Rogaway.
  • D. Edward Wild
    Edward Wild is a cinematographer known for his work on feature films such as the romantic comedy "Chalet Girl."
  • E. John Wildman
    John Wildman was a prominent radical politician and agitator during the English Civil War and Interregnum, closely associated with the Levellers and early democratic ideas.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17659e4dc81909cf6943c1c986ef9 completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b58689074819081320f1e92e4bd8f completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5e95ec81909197b2dbca88d7df completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7032e5f48190ada4ef53a71716a6 completed May 18, 2026, 8:01 p.m.
Created at: April 17, 2026, 3:06 p.m.