Triple

T807048
Position Surface form Disambiguated ID Type / Status
Subject Frank Heart E17460 entity
Predicate hasSignificantProject P2183 FINISHED
Object first generation IMPs for ARPANET LITERAL FINISHED

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: first generation IMPs for ARPANET | Statement: [Frank Heart, hasSignificantProject, first generation IMPs for ARPANET]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignificantProject
Context triple: [Frank Heart, hasSignificantProject, first generation IMPs for ARPANET]
  • A. hasNotableProject chosen
    Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
  • B. hasProject
    Indicates that an entity is associated with or responsible for a particular project.
  • C. hasMajorWork
    Indicates that an entity (typically a person, creator, or organization) is associated with a significant or principal work they produced or are best known for.
  • D. majorProject
    Indicates that an entity is a primary, large-scale, or most significant project associated with another entity.
  • E. hasWorkAsSubject
    Indicates that an entity serves as the subject (creator or originator) of a particular work or creative output.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ac07fedc8190ab05595f25c1792f completed March 1, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69a4aa7221c081908068e66fe720f26d completed March 1, 2026, 9:06 p.m.
Created at: March 1, 2026, 7:38 p.m.