Triple

T18015111
Position Surface form Disambiguated ID Type / Status
Subject SQLAlchemy E430980 entity
Predicate author P4 FINISHED
Object Mike Bayer 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: Mike Bayer | Statement: [SQLAlchemy, author, Mike Bayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Bayer
Context triple: [SQLAlchemy, author, Mike Bayer]
  • A. Mike Bayer chosen
    Mike Bayer is a software engineer best known as the original creator and lead developer of the SQLAlchemy Python SQL toolkit and Object-Relational Mapper.
  • B. Brad Cox
    Brad Cox was an American computer scientist and software engineer best known for co-creating the Objective-C programming language.
  • C. Martin E. Franklin
    Martin E. Franklin is a British-American businessman and entrepreneur best known for building consumer products conglomerates such as Jarden Corporation through aggressive acquisitions and value-focused management.
  • D. D. Richard Hipp
    D. Richard Hipp is an American computer programmer best known as the creator of the SQLite database engine.
  • E. Robb Armstrong
    Robb Armstrong is an American cartoonist best known as the creator of the long-running syndicated comic strip "JumpStart."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b522e84c8190a03f6445df9f5ac8 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.