Triple

T17903941
Position Surface form Disambiguated ID Type / Status
Subject Keivonn Montreal Woodard E447651 entity
Predicate signLanguageUser P88340 FINISHED
Object American Sign Language NE NERFINISHED

How this triple was built (3 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: American Sign Language | Statement: [Keivonn Montreal Woodard, signLanguageUser, American Sign Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Sign Language
Context triple: [Keivonn Montreal Woodard, signLanguageUser, American Sign Language]
  • A. American Sign Language chosen
    American Sign Language is a natural visual-gestural language used primarily by Deaf communities in the United States and parts of Canada, with its own distinct grammar and vocabulary separate from spoken English.
  • B. ASL
    ASL is the ICAO airline designator used to identify Air Serbia in international aviation operations and communications.
  • C. ASL
    ASL is an international scholarly organization devoted to the advancement of research and education in symbolic logic and its applications.
  • D. ASL
    ASL is a German vehicle registration code used for cars registered in the Salzlandkreis district of Saxony-Anhalt.
  • E. ASL
    ASL is the three-letter station code used to identify Arsenal Underground station on the London Underground network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signLanguageUser
Context triple: [Keivonn Montreal Woodard, signLanguageUser, American Sign Language]
  • A. usesSignLanguage chosen
    Indicates that one entity communicates using sign language with or in relation to another entity.
  • B. recognizedSignLanguage
    Indicates that one entity has correctly identified or understood a sign language used or produced by another entity.
  • C. callSignLanguage
    Indicates that one entity communicates with another using sign language as the medium of the call or conversation.
  • D. languageOfSignage
    Indicates the language used on signs or written displays associated with an entity.
  • E. usesFingerspellingSystem
    Indicates that one entity employs or applies a particular fingerspelling system in communication or representation.
  • F. None of above.

Provenance (3 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
PD Predicate disambiguation batch_69e3d8ec2f6881909d7f54b878cbed37 completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:19 a.m.