Triple

T16646842
Position Surface form Disambiguated ID Type / Status
Subject Scritti Politti E404490 entity
Predicate hasMember P10 FINISHED
Object Marcus Rojas
Marcus Rojas is an American tuba player known for his work in contemporary, jazz, and experimental music, collaborating with a wide range of artists and ensembles.
E1227865 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: Marcus Rojas | Statement: [Scritti Politti, hasMember, Marcus Rojas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcus Rojas
Context triple: [Scritti Politti, hasMember, Marcus Rojas]
  • A. Ezequiel Rojas
    Ezequiel Rojas was a 19th-century Colombian politician and statesman known for helping shape the country’s liberal political movement.
  • B. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • C. Freddy Rincón
    Freddy Rincón was a prominent Colombian midfielder known for his powerful play and key role in Colombia’s World Cup campaigns in the 1990s.
  • D. Christian Gómez
    Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
  • E. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • 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: Marcus Rojas
Triple: [Scritti Politti, hasMember, Marcus Rojas]
Generated description
Marcus Rojas is an American tuba player known for his work in contemporary, jazz, and experimental music, collaborating with a wide range of artists and ensembles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marcus Rojas
Target entity description: Marcus Rojas is an American tuba player known for his work in contemporary, jazz, and experimental music, collaborating with a wide range of artists and ensembles.
  • A. Ezequiel Rojas
    Ezequiel Rojas was a 19th-century Colombian politician and statesman known for helping shape the country’s liberal political movement.
  • B. Diego Carrasco
    Diego Carrasco is a Spanish flamenco singer and guitarist known for blending traditional flamenco with contemporary musical styles.
  • C. Freddy Rincón
    Freddy Rincón was a prominent Colombian midfielder known for his powerful play and key role in Colombia’s World Cup campaigns in the 1990s.
  • D. Christian Gómez
    Christian Gómez is an Argentine attacking midfielder best known in the United States for his standout play with D.C. United in Major League Soccer.
  • E. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad66fe88190be582b81719f2ac1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2f1da48190a1a01dbe25f8f0e9 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b5135788190af6cfca6cb333d26 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008bee78248190b920d780bcbd3032 completed May 10, 2026, 1:45 p.m.
Created at: April 10, 2026, 5:18 a.m.