Triple

T21332979
Position Surface form Disambiguated ID Type / Status
Subject Barngarla people E525959 entity
Predicate languageRevivalSupportedBy P143757 FINISHED
Object Ghil'ad Zuckermann NE NERFINISHED

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: Ghil'ad Zuckermann | Statement: [Barngarla people, languageRevivalSupportedBy, Ghil'ad Zuckermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghil'ad Zuckermann
Context triple: [Barngarla people, languageRevivalSupportedBy, Ghil'ad Zuckermann]
  • A. Uriel Feige
    Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
  • B. Osnat Shurer
    Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
  • C. Michael Shalev
    Michael Shalev is an Israeli sociologist and academic known for his work on political economy, welfare states, and labor relations.
  • D. Harel Weinstein
    Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
  • E. Asaf Eisenberg
    Asaf Eisenberg is a film editor known for his work on major action movies, including the 2024 installment of the Bad Boys franchise, "Bad Boys: Ride or Die."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ghil'ad Zuckermann
Target entity description: Ghil'ad Zuckermann is an Israeli-born linguist and revivalist scholar known for his work on language reclamation, including leading efforts to revive the Barngarla Aboriginal language in Australia.
  • A. Uriel Feige
    Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
  • B. Osnat Shurer
    Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
  • C. Michael Shalev
    Michael Shalev is an Israeli sociologist and academic known for his work on political economy, welfare states, and labor relations.
  • D. Harel Weinstein
    Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
  • E. Asaf Eisenberg
    Asaf Eisenberg is a film editor known for his work on major action movies, including the 2024 installment of the Bad Boys franchise, "Bad Boys: Ride or Die."
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageRevivalSupportedBy
Context triple: [Barngarla people, languageRevivalSupportedBy, Ghil'ad Zuckermann]
  • A. languageRevived
    Indicates that a previously endangered or no-longer-spoken language has been brought back into active use within a community.
  • B. languageRevivalMethod
    Indicates the method or strategy used to revive or revitalize a language that is endangered, dormant, or no longer actively spoken.
  • C. languageRevivalStart
    Indicates the point in time when efforts to revive or revitalize a language begin.
  • D. languageRevivalGoal
    Indicates a goal or effort aimed at reviving, revitalizing, or restoring use of a language that is endangered, declining, or no longer actively spoken.
  • E. hasLanguageRevitalizationEfforts
    Indicates that there are organized actions or initiatives aimed at preserving, strengthening, or reviving the use of a particular language.
  • F. None of above. chosen

Provenance (4 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba65c4081908b93d5dc6a937cb6 completed April 26, 2026, 6:38 p.m.
PD Predicate disambiguation batch_69e6161feea4819091d13bb003363279 completed April 20, 2026, 12:03 p.m.
PDg Predicate description generation batch_69e6190163448190a2404b396215c686 completed April 20, 2026, 12:16 p.m.
Created at: April 16, 2026, 4:42 p.m.