Triple

T732706
Position Surface form Disambiguated ID Type / Status
Subject Brendan Eich E14864 entity
Predicate notableProject P4 FINISHED
Object Firefox web browser 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: Firefox web browser | Statement: [Brendan Eich, notableProject, Firefox web browser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firefox web browser
Context triple: [Brendan Eich, notableProject, Firefox web browser]
  • 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. Google Chrome
    Google Chrome is a widely used cross-platform web browser developed by Google, known for its speed, simplicity, and integration with Google services.
  • C. Torch Browser
    Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
  • D. WebKit
    WebKit is an open-source web browser engine, originally developed by Apple, that powers the rendering and execution of web content in browsers like Safari.
  • E. Colibri Browser
    Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d5a6b48190a2c81bfc3c6faa25 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5c9d248190b0bebfd0e999643a completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.