Triple

T2341644
Position Surface form Disambiguated ID Type / Status
Subject Charlemagne E45038 entity
Predicate child P120 FINISHED
Object Bertha
Bertha was a daughter of Charlemagne, the Frankish king and emperor who united much of Western Europe during the early Middle Ages.
 E259238 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: Bertha | Statement: [Charlemagne, child, Bertha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bertha
Context triple: [Charlemagne, child, Bertha]
  • A. Bertha
    "Bertha" is a popular live staple and fan-favorite rock song by the Grateful Dead, first released on their 1971 self-titled live album (often called "Skull and Roses").
  • B. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • C. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • D. Agnes
    Agnes is the sweet, unicorn-obsessed youngest daughter of Gru in the Despicable Me franchise, known for her innocence, enthusiasm, and iconic “It’s so fluffy!” line.
  • E. Ethel
    Ethel is a feminine given name of Old English origin, historically popular in English-speaking countries.
  • 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: Bertha
Triple: [Charlemagne, child, Bertha]
Generated description
Bertha was a daughter of Charlemagne, the Frankish king and emperor who united much of Western Europe during the early Middle Ages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bertha
Target entity description: Bertha was a daughter of Charlemagne, the Frankish king and emperor who united much of Western Europe during the early Middle Ages.
  • A. Bertha
    "Bertha" is a popular live staple and fan-favorite rock song by the Grateful Dead, first released on their 1971 self-titled live album (often called "Skull and Roses").
  • B. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • C. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • D. Agnes
    Agnes is the sweet, unicorn-obsessed youngest daughter of Gru in the Despicable Me franchise, known for her innocence, enthusiasm, and iconic “It’s so fluffy!” line.
  • E. Ethel
    Ethel is a feminine given name of Old English origin, historically popular in English-speaking countries.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961fd8748190a82ca4c4b840d9f6 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae980425b0819092477f5cf9816d65 completed March 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae9bef58f881908161d143369ba11a completed March 9, 2026, 10:07 a.m.
Created at: March 4, 2026, 7:52 p.m.