Triple

T6961748
Position Surface form Disambiguated ID Type / Status
Subject Adobe Character Animator E161384 entity
Predicate fileFormatSupport P8463 FINISHED
Object PSD E618922 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: PSD | Statement: [Adobe Character Animator, fileFormatSupport, PSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PSD
Context triple: [Adobe Character Animator, fileFormatSupport, PSD]
  • A. PSD
    PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
  • B. PSD chosen
    PSD is Adobe Photoshop’s native layered image file format, widely used in professional graphic design and photo editing for preserving complex edits and high-quality visual data.
  • C. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • D. PSF
    PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
  • E. PNG
    PNG (Portable Network Graphics) is a widely used raster image format known for its lossless compression and support for transparency, commonly used for web graphics and digital images.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf07e3481909aa79b8e0f1b1be7 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589c587c8190b97523b5ac2ab958 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.