Triple

T15710952
Position Surface form Disambiguated ID Type / Status
Subject Maury Yeston E380833 entity
Predicate hasWrittenTextFor P11775 FINISHED
Object Nine E78365 NE FINISHED

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: Nine | Statement: [Maury Yeston, hasWrittenTextFor, Nine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nine
Context triple: [Maury Yeston, hasWrittenTextFor, Nine]
  • A. Nine chosen
    "Nine" is a 2009 musical drama film adaptation of the stage musical (itself based on Federico Fellini's "8½"), featuring an ensemble cast and produced by The Weinstein Company.
  • B. Nine
    "Nine" is a notable theatrical work associated with actress Joan Tetzel, recognized as part of her distinguished stage career.
  • C. Nine
    Nine is a locality in northern Portugal situated along the historic Linha do Minho railway line.
  • D. Nine
    Nine is a 2019 studio album by American rock band Blink-182 that showcases their modern pop-punk sound and continued evolution.
  • E. Nine
    Nine is a major Australian media company best known for operating the Nine Network of television channels and related media assets.
  • 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: hasWrittenTextFor
Context triple: [Maury Yeston, hasWrittenTextFor, Nine]
  • A. hasWrittenFor chosen
    Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
  • B. isWritten
    Indicates that a text, document, or content has been created or recorded in written form by an agent.
  • C. hasWrittenRecordsIn
    Indicates that an entity has produced or maintains written records in a specified medium, format, or location.
  • D. hasText
    Indicates that an entity is associated with or contains a specific piece of textual content.
  • E. writtenTo
    Indicates that something has been addressed or directed in written form to a particular recipient.
  • F. None of above.

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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9090e25481909f142b54ac4802f8 completed May 9, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69e00526759c819088b80d85138b8974 completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:45 a.m.