Triple

T17569587
Position Surface form Disambiguated ID Type / Status
Subject Tobias Koppers E427899 entity
Predicate roleInWebpack P42340 FINISHED
Object original author 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: original author | Statement: [Tobias Koppers, roleInWebpack, original author]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInWebpack
Context triple: [Tobias Koppers, roleInWebpack, original author]
  • A. roleInReact
    Indicates that an entity participates in a reaction with a specified functional or contextual role (e.g., reactant, product, catalyst, or regulator).
  • B. roleInToolchain chosen
    Indicates that an entity serves a specific function or position within a larger sequence of tools or processes in a toolchain.
  • C. roleInBun
    Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
  • D. roleInReasonML
    Indicates that an entity holds a specific role or function within the ReasonML language, ecosystem, or community.
  • E. roleInAssembly
    Indicates the specific function, position, or responsibility an entity holds within a particular assembly or gathering.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592fe8408190bd8fed1920ab3601 completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.