Triple

T12941939
Position Surface form Disambiguated ID Type / Status
Subject John Wieners E309657 entity
Predicate familyName P18 FINISHED
Object Wieners
Wieners is the surname of American poet John Wieners, associated with the Beat Generation and the Boston Renaissance.
 E1010842 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: Wieners | Statement: [John Wieners, familyName, Wieners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wieners
Context triple: [John Wieners, familyName, Wieners]
  • A. Shnitzel
    Shnitzel is a gruff, rock-skinned chef and dishwasher in the animated series "Chowder," known for his limited vocabulary and deadpan demeanor.
  • B. Pretzel
    Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
  • C. Hot Dog
    "Hot Dog" is a rock and roll song by Welsh singer Shakin' Stevens that became one of his early chart hits.
  • D. Weenie
    Weenie is the small, long-suffering dog who appears as a recurring character in Kay Thompson’s Eloise children’s book series.
  • E. Ratburger
    Ratburger is a children's novel by British comedian and author David Walliams that follows a young girl whose pet rat becomes the target of a sinister burger-making scheme.
  • 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: Wieners
Triple: [John Wieners, familyName, Wieners]
Generated description
Wieners is the surname of American poet John Wieners, associated with the Beat Generation and the Boston Renaissance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wieners
Target entity description: Wieners is the surname of American poet John Wieners, associated with the Beat Generation and the Boston Renaissance.
  • A. Shnitzel
    Shnitzel is a gruff, rock-skinned chef and dishwasher in the animated series "Chowder," known for his limited vocabulary and deadpan demeanor.
  • B. Pretzel
    Pretzel is a classic children's picture book by Margret Rey, best known for its story about an unusually long dachshund and its charming illustrations.
  • C. Hot Dog
    "Hot Dog" is a rock and roll song by Welsh singer Shakin' Stevens that became one of his early chart hits.
  • D. Weenie
    Weenie is the small, long-suffering dog who appears as a recurring character in Kay Thompson’s Eloise children’s book series.
  • E. Ratburger
    Ratburger is a children's novel by British comedian and author David Walliams that follows a young girl whose pet rat becomes the target of a sinister burger-making scheme.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dca2ee88190b45fafe7d53c35c9 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af70f45c8190a40250da4a787d8f completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b066f3888190b925e5a43be57965 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ae645c8190a7c3e5f926c6a487 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.