Triple

T16702829
Position Surface form Disambiguated ID Type / Status
Subject XUL E405892 entity
Predicate usedIn P98 FINISHED
Object SeaMonkey E134963 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: SeaMonkey | Statement: [XUL, usedIn, SeaMonkey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SeaMonkey
Context triple: [XUL, usedIn, SeaMonkey]
  • A. Mozilla SeaMonkey chosen
    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.
  • B. Waterfox
    Waterfox is a privacy-focused web browser derived from Mozilla Firefox, optimized for speed and compatibility with legacy extensions.
  • C. K-Meleon
    K-Meleon is a lightweight, customizable web browser for Windows that uses Mozilla’s Gecko rendering engine.
  • D. 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.
  • E. 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.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.