Triple

T36489856
Position Surface form Disambiguated ID Type / Status
Subject Paragraph Vector E899023 entity
Predicate fullNameOfVariant P161294 FINISHED
Object PV-DM: Distributed Memory model of Paragraph Vectors 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: PV-DM: Distributed Memory model of Paragraph Vectors | Statement: [Paragraph Vector, fullNameOfVariant, PV-DM: Distributed Memory model of Paragraph Vectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fullNameOfVariant
Context triple: [Paragraph Vector, fullNameOfVariant, PV-DM: Distributed Memory model of Paragraph Vectors]
  • A. nameHasVariant chosen
    Indicates that an entity’s name has an alternative or variant form.
  • B. exportVariantName
    Indicates that one entity is the name or label of a specific variant of another entity intended for export.
  • C. dstVariantName
    Indicates that an entity has a specific variant name used or assigned as the destination in a mapping, transformation, or versioning context.
  • D. hasOfficialNameVariant
    Indicates that an entity has an alternative official form or version of its name.
  • E. hasNameVariantType
    Indicates that one name is a specific type or variant of another name, such as an alias, abbreviation, or alternative spelling.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:10 p.m.