Triple

T30707309
Position Surface form Disambiguated ID Type / Status
Subject Nikos Xylouris E781786 entity
Predicate recordLabel P1500 FINISHED
Object Columbia (Greek division)
Columbia (Greek division) was the Greek branch of the Columbia record label, known for producing and distributing influential Greek music recordings in the 20th century.
E1928132 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: Columbia (Greek division) | Statement: [Nikos Xylouris, recordLabel, Columbia (Greek division)]
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: Columbia (Greek division)
Triple: [Nikos Xylouris, recordLabel, Columbia (Greek division)]
Generated description
Columbia (Greek division) was the Greek branch of the Columbia record label, known for producing and distributing influential Greek music recordings in the 20th century.

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_69f224abfcf081909492e64d3cc35262 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c1b0d888190b443f6c77569bc77 completed May 2, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2898fd2fdc819094fb5f7cad6a1cab completed June 9, 2026, 10:51 p.m.
NEDg Description generation batch_6a2899a5f87881909200941832511700 completed June 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a289ac7f570819094b7940133c5ac52 completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:35 p.m.