Triple

T13439205
Position Surface form Disambiguated ID Type / Status
Subject Stuart Little E320309 entity
Predicate friend P8712 FINISHED
Object Margalo
Margalo is a kind and resourceful bird who becomes one of Stuart Little’s closest companions in E.B. White’s classic children’s novel.
 E1040466 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: Margalo | Statement: [Stuart Little, friend, Margalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margalo
Context triple: [Stuart Little, friend, Margalo]
  • A. Margi
    Margi are an ethnic group native to northeastern Nigeria, particularly in and around Adamawa State, known for their distinct language and cultural traditions.
  • B. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • C. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • D. Myrna
    Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
  • E. Marlo
    Marlo is a fictional character associated with Tully, likely appearing in a narrative centered on that figure.
  • 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: Margalo
Triple: [Stuart Little, friend, Margalo]
Generated description
Margalo is a kind and resourceful bird who becomes one of Stuart Little’s closest companions in E.B. White’s classic children’s novel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margalo
Target entity description: Margalo is a kind and resourceful bird who becomes one of Stuart Little’s closest companions in E.B. White’s classic children’s novel.
  • A. Margi
    Margi are an ethnic group native to northeastern Nigeria, particularly in and around Adamawa State, known for their distinct language and cultural traditions.
  • B. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • C. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • D. Myrna
    Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
  • E. Marlo
    Marlo is a fictional character associated with Tully, likely appearing in a narrative centered on that figure.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399215bc8190b846906b0f081e7f completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73bd79b8c8190bf91865e22bd41d0 completed May 3, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_69f73c45b0748190ab9b1b524d206c0d completed May 3, 2026, 12:15 p.m.
Created at: April 9, 2026, 9:40 p.m.