Triple

T13881650
Position Surface form Disambiguated ID Type / Status
Subject Maria von Trapp E333731 entity
Predicate givenName P17 FINISHED
Object Maria
Maria is the central figure of the real-life Trapp Family Singers whose story inspired "The Sound of Music."
 E1067531 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: Maria | Statement: [Maria von Trapp, givenName, Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maria
Context triple: [Maria von Trapp, givenName, Maria]
  • A. Maria
    Maria is a track on Rage Against the Machine’s 2000 album "The Battle of Los Angeles," known for its politically charged lyrics and aggressive rap metal sound.
  • B. Maria
    Maria Vladimirovna Dolgorukova was a Russian noblewoman from the prominent Dolgorukov family, known historically as the first wife of Tsar Michael I of Russia.
  • C. Maria
    Maria is the given name of Grand Duchess Maria Alexandrovna of Russia, a 19th-century Russian imperial princess who became Duchess of Edinburgh through marriage into the British royal family.
  • D. Maria
    Maria is a character in the period drama film "Stage Beauty," which explores gender roles and the world of 17th-century English theatre.
  • E. Maria
    Maria is an Italian woman best known as the younger sister of actress Sophia Loren and the former wife of film producer Romano Mussolini.
  • 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: Maria
Triple: [Maria von Trapp, givenName, Maria]
Generated description
Maria is the central figure of the real-life Trapp Family Singers whose story inspired "The Sound of Music."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maria
Target entity description: Maria is the central figure of the real-life Trapp Family Singers whose story inspired "The Sound of Music."
  • A. Maria
    "Maria" is the iconic, optimistic song from the musical *The Sound of Music*, in which the nuns describe the spirited and unconventional nature of Maria Rainer.
  • B. Maria
    Maria is the young Puerto Rican woman at the heart of the musical "West Side Story," whose forbidden romance with Tony drives the story’s modern retelling of "Romeo and Juliet."
  • C. Maria
    Maria is a central character in Fritz Lang's classic science fiction film "Metropolis," known for her compassionate leadership and symbolic role as a mediator between social classes.
  • D. Maria
    Maria is a key character in the historical drama "Tulip Fever," serving as the young maid whose secret romance and pregnancy help drive the film’s central scheme and emotional stakes.
  • E. Maria
    Maria is the central character of the work "The Misunderstanding," around whom the main conflict and emotional narrative revolve.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be8566881908b8902e3cd567669 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c711f9b08190aa5981320597e83b completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:15 p.m.