Triple

T25470835
Position Surface form Disambiguated ID Type / Status
Subject Tinderbox music festival E638298 entity
Predicate organizer P123 FINISHED
Object Live Nation Denmark
Live Nation Denmark is the Danish branch of the global live entertainment company Live Nation, responsible for promoting and organizing major concerts and music festivals across Denmark.
E1680340 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: Live Nation Denmark | Statement: [Tinderbox music festival, organizer, Live Nation Denmark]
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: Live Nation Denmark
Triple: [Tinderbox music festival, organizer, Live Nation Denmark]
Generated description
Live Nation Denmark is the Danish branch of the global live entertainment company Live Nation, responsible for promoting and organizing major concerts and music festivals across Denmark.

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_69e75db9b964819096802dcf502e577e completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f7510dd08190bd6021cb5f2996d4 completed May 2, 2026, 1:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089b8f6d0819087635c86f1af8f9e completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108b7bc4608190ac2249efc289c793 completed May 22, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_6a108c6c895481909b19e0dab60905ad completed May 22, 2026, 5:03 p.m.
Created at: April 21, 2026, 2:22 p.m.