Triple

T7937236
Position Surface form Disambiguated ID Type / Status
Subject Concurrent Versions System E184314 entity
Predicate influenced P9 FINISHED
Object Mercurial E355664 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: Mercurial | Statement: [Concurrent Versions System, influenced, Mercurial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercurial
Context triple: [Concurrent Versions System, influenced, Mercurial]
  • A. Mercurial chosen
    Mercurial is a distributed version control system used for managing and tracking changes in source code.
  • B. Sublime
    Sublime was an influential American ska punk band from Long Beach, California, known for blending punk, reggae, ska, and hip-hop into hits like "What I Got" and "Santeria."
  • C. Finesse
    "Finesse" is a retro-inspired R&B and new jack swing song by Bruno Mars, widely recognized for its 1990s aesthetic and popular remix featuring Cardi B.
  • D. Valiant
    Valiant is the surname of Leslie Valiant, a prominent computer scientist known for his foundational work in computational learning theory and complexity theory.
  • E. Valiant
    Valiant is the knight-themed mascot representing Manhattanville College’s athletic teams.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aef2394819086eea1f6ab117aed completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe019a094819082baecdcb007c84f completed March 31, 2026, 2:54 p.m.
Created at: March 30, 2026, 5:08 p.m.