Triple

T18221981
Position Surface form Disambiguated ID Type / Status
Subject ESS E436328 entity
Predicate supportsLanguage P2177 FINISHED
Object JAGS
JAGS is a program for Bayesian graphical modeling that uses Markov Chain Monte Carlo (MCMC) methods to perform statistical analysis.
 E1313003 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: JAGS | Statement: [ESS, supportsLanguage, JAGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JAGS
Context triple: [ESS, supportsLanguage, JAGS]
  • A. Jurado
    Jurado is a Spanish-language surname most famously associated with Mexican actress Katy Jurado, known for her roles in classic Western films.
  • B. The Jury
    The Jury is an American legal drama television series that presents criminal trials from the perspective of the jurors deliberating the cases.
  • C. The Jury
    The Jury is a British television legal drama series that follows the lives and dilemmas of jurors involved in high-profile court cases.
  • D. Juratind
    Juratind is a prominent mountain peak in Norway’s Romsdal region, known for its striking alpine profile and challenging climbing routes.
  • E. JADE
    JADE is a scientific instrument aboard NASA's Juno spacecraft that measures the distributions of electrons and ions in Jupiter’s auroral regions to study the planet’s magnetosphere and auroral processes.
  • 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: JAGS
Triple: [ESS, supportsLanguage, JAGS]
Generated description
JAGS is a program for Bayesian graphical modeling that uses Markov Chain Monte Carlo (MCMC) methods to perform statistical analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JAGS
Target entity description: JAGS is a program for Bayesian graphical modeling that uses Markov Chain Monte Carlo (MCMC) methods to perform statistical analysis.
  • A. Jurado
    Jurado is a Spanish-language surname most famously associated with Mexican actress Katy Jurado, known for her roles in classic Western films.
  • B. The Jury
    The Jury is an American legal drama television series that presents criminal trials from the perspective of the jurors deliberating the cases.
  • C. The Jury
    The Jury is a British television legal drama series that follows the lives and dilemmas of jurors involved in high-profile court cases.
  • D. Juratind
    Juratind is a prominent mountain peak in Norway’s Romsdal region, known for its striking alpine profile and challenging climbing routes.
  • E. JADE
    JADE is a scientific instrument aboard NASA's Juno spacecraft that measures the distributions of electrons and ions in Jupiter’s auroral regions to study the planet’s magnetosphere and auroral processes.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f1da8948190811c2dc441b63866 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a03a00195b08190b77a676bc44d1887 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0a4ef148190b6c69f72f019964a completed May 12, 2026, 9:50 p.m.
Created at: April 10, 2026, 10:32 a.m.