Triple

T4654790
Position Surface form Disambiguated ID Type / Status
Subject Chris Lattner E102382 entity
Predicate familyName P18 FINISHED
Object Lattner E102382 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: Lattner | Statement: [Chris Lattner, familyName, Lattner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lattner
Context triple: [Chris Lattner, familyName, Lattner]
  • A. John Lattner
    John Lattner was a standout halfback for the University of Notre Dame who won the 1953 Heisman Trophy and later played in the NFL.
  • B. Chris Lattner chosen
    Chris Lattner is a software engineer best known for creating the LLVM compiler infrastructure and leading the development of Apple’s Swift programming language.
  • C. Jim Weirich
    Jim Weirich was an influential American software developer and speaker best known in the Ruby community for his contributions to open-source tools and his work in promoting clean code practices.
  • D. Saverin
    Saverin is the surname of Eduardo Saverin, the Brazilian-born entrepreneur best known as a co-founder of Facebook.
  • E. Andrew McCollum
    Andrew McCollum is an American entrepreneur and software engineer best known as one of the original co-founders of Facebook.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6317ba70819089145766d3462e57 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaef125c819097d79f25608302dc completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:14 p.m.