Triple

T1160785
Position Surface form Disambiguated ID Type / Status
Subject SpiderMonkey E24484 entity
Predicate originalAuthor P2806 FINISHED
Object Brendan Eich E14864 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: Brendan Eich | Statement: [SpiderMonkey, originalAuthor, Brendan Eich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brendan Eich
Context triple: [SpiderMonkey, originalAuthor, Brendan Eich]
  • A. Brendan Eich chosen
    Brendan Eich is an American technologist best known as the creator of the JavaScript programming language and a co-founder of the Mozilla project, Mozilla Foundation, and Mozilla Corporation.
  • B. Ian Hickson
    Ian Hickson is a prominent web standards editor and software engineer best known for his leading role in developing the HTML5 specification and his work with the WHATWG and W3C.
  • C. Robert Griesemer
    Robert Griesemer is a Swiss software engineer best known as one of the principal designers of the Go programming language at Google.
  • D. Matthew Garrett
    Matthew Garrett is a prominent free software developer and security expert known for his influential work on Linux, firmware, and secure boot technologies.
  • E. Jonathan Schwartz
    Jonathan Schwartz is a film producer best known for his work on acclaimed independent movies such as "Like Crazy."
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f15a9ac8190802f66f3699fbbe7 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:45 p.m.