Triple

T6443414
Position Surface form Disambiguated ID Type / Status
Subject Bytecode Alliance E138280 entity
Predicate hasMember P10 FINISHED
Object Mozilla E91230 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: Mozilla | Statement: [Bytecode Alliance, hasMember, Mozilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mozilla
Context triple: [Bytecode Alliance, hasMember, Mozilla]
  • A. Mozilla chosen
    Mozilla is an open-source software community best known for creating the Firefox web browser and advocating for an open, privacy-focused internet.
  • B. Mozilla Firefox
    Mozilla Firefox is a free, open-source web browser developed by Mozilla, known for its strong privacy features, customizability, and support for open web standards.
  • C. Firefox
    Firefox is a 1982 American techno-thriller film directed by and starring Clint Eastwood, centered on a Cold War mission to steal a cutting-edge Soviet fighter jet.
  • D. Mozilla SeaMonkey
    Mozilla SeaMonkey is an all-in-one internet application suite that includes a web browser, email and newsgroup client, HTML editor, and other tools, continuing the legacy of the classic Mozilla Application Suite.
  • E. Mozilla Messaging
    Mozilla Messaging was a subsidiary of the Mozilla Foundation focused on developing and supporting email and messaging software, most notably the Thunderbird email client.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698b030481908b7bb4e16a8b3339 completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc718dc8190b186d09a17562d26 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.