Triple

T34662271
Position Surface form Disambiguated ID Type / Status
Subject RCA art department E890146 entity
Predicate worksWith P398 FINISHED
Object marketing department of RCA Records
The marketing department of RCA Records is the division responsible for promoting the label’s artists and releases, developing campaigns, branding strategies, and market outreach to maximize commercial impact.
E6618 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: marketing department of RCA Records | Statement: [RCA art department, worksWith, marketing department of RCA Records]
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: marketing department of RCA Records
Triple: [RCA art department, worksWith, marketing department of RCA Records]
Generated description
The marketing department of RCA Records is the division responsible for promoting the label’s artists and releases, developing campaigns, branding strategies, and market outreach to maximize commercial impact.

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_69f349d906bc8190b2efd9eff237d94b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722f33b2c8190a7ba07ecfc6ff281 completed May 3, 2026, 10:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a374901e21c81909363036548da3937 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a374a5f91d0819099973d5e0356c3b8 completed June 21, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_6a374b28d43c8190bd3514cca5cbaa20 completed June 21, 2026, 2:23 a.m.
Created at: May 1, 2026, 2:04 a.m.