Triple

T1787084
Position Surface form Disambiguated ID Type / Status
Subject Monkey Business E39416 entity
Predicate featuresArtist P1952 FINISHED
Object Toni Vega
Toni Vega is a musical artist known for contributing featured vocals to tracks such as "Monkey Business."
E204482 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: Toni Vega | Statement: [Monkey Business, featuresArtist, Toni Vega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toni Vega
Context triple: [Monkey Business, featuresArtist, Toni Vega]
  • A. Claricia Scotti
    Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
  • B. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • C. Alexa Vega
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • D. Juni Cortez
    Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
  • E. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • 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: Toni Vega
Triple: [Monkey Business, featuresArtist, Toni Vega]
Generated description
Toni Vega is a musical artist known for contributing featured vocals to tracks such as "Monkey Business."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toni Vega
Target entity description: Toni Vega is a musical artist known for contributing featured vocals to tracks such as "Monkey Business."
  • A. Claricia Scotti
    Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
  • B. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • C. Alexa Vega
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • D. Juni Cortez
    Juni Cortez is a young, tech-savvy secret agent and one of the sibling protagonists in the Spy Kids film series.
  • E. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf52266081909b7478d76664d387 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.