Triple

T36968709
Position Surface form Disambiguated ID Type / Status
Subject Dwight Slade E914498 entity
Predicate hasWon P2624 FINISHED
Object Seattle International Comedy Competition
The Seattle International Comedy Competition is a renowned annual stand-up comedy contest that showcases emerging and established comedians from across the United States and beyond.
E2206901 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: Seattle International Comedy Competition | Statement: [Dwight Slade, hasWon, Seattle International Comedy Competition]
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: Seattle International Comedy Competition
Triple: [Dwight Slade, hasWon, Seattle International Comedy Competition]
Generated description
The Seattle International Comedy Competition is a renowned annual stand-up comedy contest that showcases emerging and established comedians from across the United States and beyond.

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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ff4087408190b780e0bc88754329 completed May 5, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c43e86c8190aaa8369455a02a52 completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2ce08a40819081db007321d0b279 completed June 26, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3e458016e881909cef925bc1bad341 completed June 26, 2026, 9:25 a.m.
Created at: May 3, 2026, 4:14 p.m.