Triple

T7666639
Position Surface form Disambiguated ID Type / Status
Subject Domain-Driven Design: Tackling Complexity in the Heart of Software E173639 entity
Predicate author P4 FINISHED
Object Eric Evans E177706 NE 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: Eric Evans | Statement: [Domain-Driven Design: Tackling Complexity in the Heart of Software, author, Eric Evans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Evans
Context triple: [Domain-Driven Design: Tackling Complexity in the Heart of Software, author, Eric Evans]
  • A. Eric Evans chosen
    Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
  • B. Alex Heineman
    Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
  • C. Andrew Hunt
    Andrew Hunt is a prominent software developer and author best known for co-writing the influential book "The Pragmatic Programmer."
  • D. Matthew C. Brown
    Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
  • E. Michael Feathers
    Michael Feathers is a software engineer, consultant, and author known for his influential work on legacy code, refactoring, and improving software design and maintainability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.