Triple

T11486924
Position Surface form Disambiguated ID Type / Status
Subject Johannes Peter Wagner E272303 entity
Predicate middleName P143 FINISHED
Object Peter
Peter is the middle name of Johannes Peter Wagner, a German sculptor of the late Baroque and early Neoclassical periods.
E30437 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: Peter | Statement: [Johannes Peter Wagner, middleName, Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter
Context triple: [Johannes Peter Wagner, middleName, Peter]
  • A. Peter
    Peter is one of the two central characters in Edward Albee’s one-act play "The Zoo Story," portrayed as a reserved, middle-class man whose encounter with the volatile Jerry leads to a tense and existential confrontation.
  • B. Peter
    Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
  • C. Peter
    Peter is the sensible, rule-abiding leader of Enid Blyton’s Secret Seven children’s detective club.
  • D. Peter
    Peter is one of the three allegorical brothers in Jonathan Swift’s satirical work "A Tale of a Tub," representing the excesses and corruptions of the Roman Catholic Church.
  • E. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • 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: Peter
Triple: [Johannes Peter Wagner, middleName, Peter]
Generated description
Peter is the middle name of Johannes Peter Wagner, a German sculptor of the late Baroque and early Neoclassical periods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter
Target entity description: Peter is the middle name of Johannes Peter Wagner, a German sculptor of the late Baroque and early Neoclassical periods.
  • A. Peter chosen
    Peter is a common male given name of Greek origin, widely used in many languages and cultures, often associated with the meaning "rock" or "stone."
  • B. Peter
    Peter is one of the three allegorical brothers in Jonathan Swift’s satirical work "A Tale of a Tub," representing the excesses and corruptions of the Roman Catholic Church.
  • C. Peter
    Peter is a leading apostle of Jesus in the New Testament, known for his prominent role in the early Christian church and for preaching key messages about Jesus’ resurrection.
  • D. Peter
    Peter is a central figure among Jesus’s apostles in the New Testament, traditionally regarded as the leader of the early Christian Church.
  • E. Peter
    Peter is a recurring child character in Enid Blyton’s “Wishing-Chair” fantasy series, known for his magical adventures involving a flying chair.
  • F. None of above.

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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
NEDg Description generation batch_69e610a5ea0481908169c58dc0831b76 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e6182b06f88190ab36d976ac989019 completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.