Triple

T13094574
Position Surface form Disambiguated ID Type / Status
Subject Is That All There Is? E310548 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Cristina
Cristina was an American singer and influential figure in the early 1980s New York no wave and downtown music scene, known for her ironic, avant-pop reinterpretations of classic songs.
E1028209 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: Cristina | Statement: [Is That All There Is?, hasCoverVersionBy, Cristina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cristina
Context triple: [Is That All There Is?, hasCoverVersionBy, Cristina]
  • A. Cristina
    Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
  • B. Cristina
    Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • C. Cristina
    Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
  • D. Cristina
    Cristina is a fictional cardiothoracic surgeon from the television series "Grey's Anatomy," known for her ambition, skill, and emotionally complex personality.
  • E. Cristina
    Cristina is a poem by Robert Browning included in his collection "Dramatic Romances and Lyrics."
  • 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: Cristina
Triple: [Is That All There Is?, hasCoverVersionBy, Cristina]
Generated description
Cristina was an American singer and influential figure in the early 1980s New York no wave and downtown music scene, known for her ironic, avant-pop reinterpretations of classic songs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cristina
Target entity description: Cristina was an American singer and influential figure in the early 1980s New York no wave and downtown music scene, known for her ironic, avant-pop reinterpretations of classic songs.
  • A. Cristina
    Cristina is one of the two free-spirited American women at the center of Woody Allen’s romantic drama film "Vicky Cristina Barcelona."
  • B. Cristina
    Cristina is a Spanish infanta and member of the Spanish royal family, known as the daughter of former King Juan Carlos I and Queen Sofía.
  • C. Cristina
    Cristina is the wife of Brazilian basketball legend Oscar Schmidt.
  • D. Cristina
    Cristina is a fictional cardiothoracic surgeon from the television series "Grey's Anatomy," known for her ambition, skill, and emotionally complex personality.
  • E. Cristina
    Cristina is a poem by Robert Browning included in his collection "Dramatic Romances and Lyrics."
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f6ffeec1e8819090e1917fc6449ede completed May 3, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_69f7017d8d308190bb54958764026325 completed May 3, 2026, 8:04 a.m.
Created at: April 9, 2026, 9:03 p.m.