Triple

T17417495
Position Surface form Disambiguated ID Type / Status
Subject VP9 E423522 entity
Predicate usedBy P260 FINISHED
Object Firefox NE NERFINISHED

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 | Statement: [VP9, usedBy, Firefox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firefox
Context triple: [VP9, usedBy, Firefox]
  • A. 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.
  • B. 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.
  • 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. Waterfox
    Waterfox is a privacy-focused web browser derived from Mozilla Firefox, optimized for speed and compatibility with legacy extensions.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44233c7888190a4d2aa703b206851 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.