Triple

T18206146
Position Surface form Disambiguated ID Type / Status
Subject E. Nesbit E435908 entity
Predicate familyName P18 FINISHED
Object Nesbit
Nesbit is an English surname most famously associated with E. Nesbit, the pioneering author of classic children's literature such as "The Railway Children."
E1311946 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: Nesbit | Statement: [E. Nesbit, familyName, Nesbit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nesbit
Context triple: [E. Nesbit, familyName, Nesbit]
  • A. Beatrice Bentley
    Beatrice Bentley was an actress known for her role in the early Technicolor silent film "The Toll of the Sea."
  • B. Maesa Pullman
    Maesa Pullman is an American singer-songwriter and musician, known for her indie-folk work and as the daughter of actor Bill Pullman.
  • C. Hazel Wood
    Hazel Wood is a country park area near Corby in Northamptonshire, England, known for its woodland walks and local wildlife.
  • D. Alice de Hales
    Alice de Hales was an English noblewoman of the early 14th century, best known as the wife of Thomas of Brotherton, 1st Earl of Norfolk and son of King Edward I.
  • E. Margery Williams
    Margery Williams was a British-American author best known for her classic 1922 children's book "The Velveteen Rabbit."
  • 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: Nesbit
Triple: [E. Nesbit, familyName, Nesbit]
Generated description
Nesbit is an English surname most famously associated with E. Nesbit, the pioneering author of classic children's literature such as "The Railway Children."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nesbit
Target entity description: Nesbit is an English surname most famously associated with E. Nesbit, the pioneering author of classic children's literature such as "The Railway Children."
  • A. Beatrice Bentley
    Beatrice Bentley was an actress known for her role in the early Technicolor silent film "The Toll of the Sea."
  • B. Maesa Pullman
    Maesa Pullman is an American singer-songwriter and musician, known for her indie-folk work and as the daughter of actor Bill Pullman.
  • C. Hazel Wood
    Hazel Wood is a country park area near Corby in Northamptonshire, England, known for its woodland walks and local wildlife.
  • D. Alice de Hales
    Alice de Hales was an English noblewoman of the early 14th century, best known as the wife of Thomas of Brotherton, 1st Earl of Norfolk and son of King Edward I.
  • E. Margery Williams
    Margery Williams was a British-American author best known for her classic 1922 children's book "The Velveteen Rabbit."
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2234b988190bbe2c2164d61f65f completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f10036c8190a1537632a19f0e23 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039febd13881908423ee008d3ba1c3 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a088b4a0819093720af0308060ee completed May 12, 2026, 9:50 p.m.
Created at: April 10, 2026, 10:32 a.m.