Triple

T32377069
Position Surface form Disambiguated ID Type / Status
Subject Trouble on My Mind E827317 entity
Predicate musicVideoDirector P4911 FINISHED
Object Jason Goldwatch
Jason Goldwatch is an American music video director known for his visually distinctive, often experimental work with prominent hip-hop and alternative artists.
E2003433 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: Jason Goldwatch | Statement: [Trouble on My Mind, musicVideoDirector, Jason Goldwatch]
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: Jason Goldwatch
Triple: [Trouble on My Mind, musicVideoDirector, Jason Goldwatch]
Generated description
Jason Goldwatch is an American music video director known for his visually distinctive, often experimental work with prominent hip-hop and alternative artists.

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_69f349177ddc8190ab0583f05597056b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c13196108190bfb822e6a3584df4 completed May 3, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8b6277081909e819f4ee684c7c7 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33edeb14188190bd07fa304bd431ea completed June 18, 2026, 1:08 p.m.
NED2 Entity disambiguation (via description) batch_6a3421de17dc8190aa57559043e9ca83 completed June 18, 2026, 4:50 p.m.
Created at: May 1, 2026, 12:51 a.m.