Triple

T18008389
Position Surface form Disambiguated ID Type / Status
Subject Michael Loren Mauldin E430812 entity
Predicate doctoralAdvisor P167 FINISHED
Object Jaime Carbonell NE NERFINISHED

How this triple was built (2 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: Jaime Carbonell | Statement: [Michael Loren Mauldin, doctoralAdvisor, Jaime Carbonell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaime Carbonell
Context triple: [Michael Loren Mauldin, doctoralAdvisor, Jaime Carbonell]
  • A. Jaime Carbonell chosen
    Jaime Carbonell was a prominent computer scientist and pioneer in machine learning and natural language processing, best known for founding the Language Technologies Institute at Carnegie Mellon University.
  • B. Kevin Alejandro
    Kevin Alejandro is an American actor known for his roles in television series such as Southland, True Blood, and Lucifer.
  • C. Jorge Garcia
    Jorge Garcia is an American actor and comedian best known for his role as Hugo "Hurley" Reyes on the television series Lost.
  • D. Kirk Acevedo
    Kirk Acevedo is an American actor known for his roles in television series such as "Oz" and "Fringe," as well as in films including "Dawn of the Planet of the Apes."
  • E. Joaquin Smits
    Joaquin Smits is known as the son of Barbara Smits and actor Jimmy Smits, connected to the entertainment world through his family background.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51d44088190bfcd35e532a4c02a completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.