Triple

T2878739
Position Surface form Disambiguated ID Type / Status
Subject Amélie E56943 entity
Predicate relatedName P3889 FINISHED
Object Amelia
Amelia is a feminine given name of Latin and Germanic origin, commonly used in many countries and often associated with figures such as aviation pioneer Amelia Earhart.
 E308795 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: Amelia | Statement: [Amélie, relatedName, Amelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amelia
Context triple: [Amélie, relatedName, Amelia]
  • A. Amelia
    Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • B. Amelia
    "Amelia" is a track featured on the album *Travelogue*, likely contributing a reflective or journey-themed element to the record’s overall narrative.
  • C. Betsy
    Betsy is a common diminutive or nickname for the given name Elizabeth.
  • D. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • E. Jean Batten
    Jean Batten was a pioneering New Zealand aviator famed for her record-breaking solo long-distance flights in the 1930s.
  • 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: Amelia
Triple: [Amélie, relatedName, Amelia]
Generated description
Amelia is a feminine given name of Latin and Germanic origin, commonly used in many countries and often associated with figures such as aviation pioneer Amelia Earhart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amelia
Target entity description: Amelia is a feminine given name of Latin and Germanic origin, commonly used in many countries and often associated with figures such as aviation pioneer Amelia Earhart.
  • A. Amelia
    Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • B. Amelia
    "Amelia" is a track featured on the album *Travelogue*, likely contributing a reflective or journey-themed element to the record’s overall narrative.
  • C. Betsy
    Betsy is a common diminutive or nickname for the given name Elizabeth.
  • D. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • E. Jean Batten
    Jean Batten was a pioneering New Zealand aviator famed for her record-breaking solo long-distance flights in the 1930s.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe008925c81909683d0ebc6227e5e completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055edfd948190ad7433002efa3e53 completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b05f20050c8190bc8401f14957ce6d completed March 10, 2026, 6:12 p.m.
NED2 Entity disambiguation (via description) batch_69b05fa27bec8190ad7b4c3175102851 completed March 10, 2026, 6:14 p.m.
Created at: March 6, 2026, 10:03 p.m.