Triple

T1724579
Position Surface form Disambiguated ID Type / Status
Subject Windows 1.0 E37467 entity
Predicate includesComponent P1393 FINISHED
Object Paint E193789 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: Paint | Statement: [Windows 1.0, includesComponent, Paint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paint
Context triple: [Windows 1.0, includesComponent, Paint]
  • A. Paint chosen
    Paint is a simple raster graphics editor developed by Microsoft and bundled with various versions of the Windows operating system for basic image creation and editing.
  • B. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • C. Spot Paintings
    Spot Paintings is a famous series of abstract works by British artist Damien Hirst featuring grids of uniformly spaced, multicolored dots on white backgrounds.
  • D. Spin Paintings
    Spin Paintings are a series of abstract, centrifuge-created works by British artist Damien Hirst, characterized by vividly colored paint radiating from a central point.
  • E. Sharpie
    Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635a5c8c8190b3fbf977a93838fd completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0d58cd08190bdda9f03ca458081 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.