Triple

T33434593
Position Surface form Disambiguated ID Type / Status
Subject WebVTT E856211 entity
Predicate standardizedBy P1371 FINISHED
Object W3C Timed Text Working Group
The W3C Timed Text Working Group is a World Wide Web Consortium group responsible for developing and maintaining web standards for timed text, including formats for captions, subtitles, and other time-aligned text on the web.
E2051231 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: W3C Timed Text Working Group | Statement: [WebVTT, standardizedBy, W3C Timed Text Working Group]
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: W3C Timed Text Working Group
Triple: [WebVTT, standardizedBy, W3C Timed Text Working Group]
Generated description
The W3C Timed Text Working Group is a World Wide Web Consortium group responsible for developing and maintaining web standards for timed text, including formats for captions, subtitles, and other time-aligned text on the web.

Provenance (5 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_69f349709e7881908c342b4d34f555f4 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e483f0f48190b38bbb7d0d335c2e completed May 3, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3581578160819094a5281c29c0a6fb completed June 19, 2026, 5:50 p.m.
NEDg Description generation batch_6a358270a84081909f9defde3b895271 completed June 19, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a3582d601608190922e504f24bb2061 completed June 19, 2026, 5:56 p.m.
Created at: May 1, 2026, 1:36 a.m.