Triple

T24928423

Position	Surface form	Disambiguated ID	Type / Status
Subject	PNG	`E618924`	entity
Predicate	supportsInterlacing	`P164767`	FINISHED
Object	Adam7 interlacing Adam7 interlacing is a progressive image display technique used in PNG files that renders a low-resolution preview first and then refines it in successive passes.	`E1658971`	NE FINISHED

How this triple was built (3 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: Adam7 interlacing | Statement: [PNG, supportsInterlacing, Adam7 interlacing]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Adam7 interlacing
Triple: [PNG, supportsInterlacing, Adam7 interlacing]

Generated description

Adam7 interlacing is a progressive image display technique used in PNG files that renders a low-resolution preview first and then refines it in successive passes.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: supportsInterlacing
Context triple: [PNG, supportsInterlacing, Adam7 interlacing]

A. supportsInterlacedVideo
Indicates that an entity is capable of handling, processing, or displaying interlaced video signals.
B. supportsInterlacedCompositeArtifacts
Indicates that one entity provides compatibility with or functionality for handling interlaced composite artifacts associated with another entity.
C. supportsNonInterlacedModes
Indicates that an entity is capable of handling or operating with non-interlaced (progressive) display modes.
D. interlaced
Indicates that two or more things are intricately intertwined or alternated with each other in a closely connected pattern.
E. supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
F. None of above. chosen

Provenance (7 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_69e2fab9edd88190b86004a78a28bc20`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f650fc44e48190bc0e0a935eac62a6`	completed	May 2, 2026, 7:31 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1033397e5881908eb8f4d277861a2f`	completed	May 22, 2026, 10:43 a.m.
NEDg	Description generation	`batch_6a10341f2f84819080ce00e1d48f4fa1`	completed	May 22, 2026, 10:46 a.m.
NED2	Entity disambiguation (via description)	`batch_6a103516e0e88190898a8b019ff7e6e5`	completed	May 22, 2026, 10:51 a.m.
PD	Predicate disambiguation	`batch_69f64cab1f648190a2a9460690d18a37`	completed	May 2, 2026, 7:12 p.m.
PDg	Predicate description generation	`batch_69f650c466b881908954e43bfebae8a4`	completed	May 2, 2026, 7:30 p.m.

Created at: April 18, 2026, 5:29 a.m.