Triple

T19028690
Position Surface form Disambiguated ID Type / Status
Subject Mae Fünke E465676 entity
Predicate hasNickname P39 FINISHED
Object Maeby
Maeby is a sharp-witted, rebellious teenage character from the television series "Arrested Development," known for her sarcastic humor and complicated family dynamics.
 E1355171 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: Maeby | Statement: [Mae Fünke, hasNickname, Maeby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maeby
Context triple: [Mae Fünke, hasNickname, Maeby]
  • A. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • B. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • C. Myra
    Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
  • D. Meano
    Meano is an Italian surname most notably associated with Vittorio Meano, an architect known for designing prominent public buildings in South America.
  • E. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • 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: Maeby
Triple: [Mae Fünke, hasNickname, Maeby]
Generated description
Maeby is a sharp-witted, rebellious teenage character from the television series "Arrested Development," known for her sarcastic humor and complicated family dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maeby
Target entity description: Maeby is a sharp-witted, rebellious teenage character from the television series "Arrested Development," known for her sarcastic humor and complicated family dynamics.
  • A. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • B. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • C. Myra
    Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
  • D. Meano
    Meano is an Italian surname most notably associated with Vittorio Meano, an architect known for designing prominent public buildings in South America.
  • E. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73ec9088190a98e214bd56e8622 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be5811e88190aae947755f554492 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf6819b08190851561a489f66d3f completed May 14, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05bfe2ab5c8190a969f060b01ee913 completed May 14, 2026, 12:28 p.m.
Created at: April 10, 2026, 12:02 p.m.