Triple

T18676523
Position Surface form Disambiguated ID Type / Status
Subject The Good Fairy E456615 entity
Predicate character P662 FINISHED
Object Detlaff
Detlaff is a fictional character appearing in the story "The Good Fairy."
 E1337585 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: Detlaff | Statement: [The Good Fairy, character, Detlaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Detlaff
Context triple: [The Good Fairy, character, Detlaff]
  • A. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • B. Marloffstein
    Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
  • C. Dettmar
    Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
  • D. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • E. Dohring
    Dohring is a surname most notably associated with American actor Jason Dohring, known for his role in the television series "Veronica Mars."
  • 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: Detlaff
Triple: [The Good Fairy, character, Detlaff]
Generated description
Detlaff is a fictional character appearing in the story "The Good Fairy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Detlaff
Target entity description: Detlaff is a fictional character appearing in the story "The Good Fairy."
  • A. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • B. Marloffstein
    Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
  • C. Dettmar
    Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
  • D. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • E. Dohring
    Dohring is a surname most notably associated with American actor Jason Dohring, known for his role in the television series "Veronica Mars."
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556b5a52c81908a71ac86544fb6aa completed April 19, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052353c80c8190a17c23eef9406fcf completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a0523e3c99481909f4371d74ad7c266 completed May 14, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0524461600819084dba49f65abf654 completed May 14, 2026, 1:24 a.m.
Created at: April 10, 2026, 11:48 a.m.