Triple

T57847
Position Surface form Disambiguated ID Type / Status
Subject Nelson E1145 entity
Predicate derivedFromGivenName P17 FINISHED
Object Nell
Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
E13447 NE FINISHED

How this triple was built (5 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: Nell | Statement: [Nelson, derivedFromGivenName, Nell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nell
Context triple: [Nelson, derivedFromGivenName, Nell]
  • A. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • 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: Nell
Triple: [Nelson, derivedFromGivenName, Nell]
Generated description
Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nell
Target entity description: Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • A. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derivedFromGivenName
Context triple: [Nelson, derivedFromGivenName, Nell]
  • A. derivedFrom
    Indicates that one entity originates, is obtained, or is developed from another source entity.
  • B. givenName chosen
    Indicates the personal first name assigned to an individual.
  • C. developedFrom
    Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
  • D. namedAfter
    Indicates that one entity has been given its name in honor of, or derived from, another entity.
  • E. nameOf
    Indicates that one entity is the name or designation of another entity.
  • F. None of above.

Provenance (6 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b915c9881908c798f4dacb39f1d completed Feb. 28, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2981ccdc0819093346109c126ea96 completed Feb. 28, 2026, 7:24 a.m.
NEDg Description generation batch_69a2987873d48190974c9847c3a51586 completed Feb. 28, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69a2992eef7881908cb4cff9d91aab98 completed Feb. 28, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69a24ac6799c8190b508933acc0a4c7d completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.