Triple

T5964669
Position Surface form Disambiguated ID Type / Status
Subject React DevTools E132721 entity
Predicate platform P1292 FINISHED
Object Mozilla Firefox E24810 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 Firefox | Statement: [React DevTools, platform, Mozilla Firefox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mozilla Firefox
Context triple: [React DevTools, platform, Mozilla Firefox]
  • A. Mozilla Firefox chosen
    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.
  • B. 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.
  • C. Mozilla
    Mozilla is an open-source software community best known for creating the Firefox web browser and advocating for an open, privacy-focused internet.
  • 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. Torch Browser
    Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1083361e08190aaba9e99a856e015 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:03 p.m.