Triple

T13350809
Position Surface form Disambiguated ID Type / Status
Subject Peter Handke E318062 entity
Predicate placeOfBirth P1 FINISHED
Object Griffen
Griffen is a small market town in the Austrian state of Carinthia, known for its historic castle ruins and picturesque rural setting.
E1034714 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: Griffen | Statement: [Peter Handke, placeOfBirth, Griffen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griffen
Context triple: [Peter Handke, placeOfBirth, Griffen]
  • A. Griffen
    Griffen is the married surname of Iris Chase, the protagonist of Margaret Atwood’s novel "The Blind Assassin."
  • B. Griffons
    The Griffons are the athletic teams representing Missouri Western State University in intercollegiate sports.
  • C. Griffins
    The Griffins are the athletic teams representing Seton Hill University in collegiate sports competitions.
  • D. Griffins
    Griffins is the commonly used short name for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • E. Griffon
    Griffon is the mythical winged lion-eagle creature that serves as the symbol and spirit representative for Missouri Western State University’s athletic teams.
  • 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: Griffen
Triple: [Peter Handke, placeOfBirth, Griffen]
Generated description
Griffen is a small market town in the Austrian state of Carinthia, known for its historic castle ruins and picturesque rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Griffen
Target entity description: Griffen is a small market town in the Austrian state of Carinthia, known for its historic castle ruins and picturesque rural setting.
  • A. Griffen
    Griffen is the married surname of Iris Chase, the protagonist of Margaret Atwood’s novel "The Blind Assassin."
  • B. Griffons
    The Griffons are the athletic teams representing Missouri Western State University in intercollegiate sports.
  • C. Griffins
    The Griffins are the athletic teams representing Seton Hill University in collegiate sports competitions.
  • D. Griffins
    Griffins is the commonly used short name for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • E. Griffon
    Griffon is the mythical winged lion-eagle creature that serves as the symbol and spirit representative for Missouri Western State University’s athletic teams.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204b6f108190bca6a0140620e03e completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f720fbf0bc81908c68cf2844938e45 completed May 3, 2026, 10:18 a.m.
Created at: April 9, 2026, 9:31 p.m.