Triple

T36503808
Position Surface form Disambiguated ID Type / Status
Subject Photograph: The Very Best of Ringo Starr E899406 entity
Predicate includesTrack P3284 FINISHED
Object King of Broken Hearts
"King of Broken Hearts" is a reflective, country-tinged ballad by Ringo Starr that showcases his more introspective, emotional songwriting style.
E2187922 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: King of Broken Hearts | Statement: [Photograph: The Very Best of Ringo Starr, includesTrack, King of Broken Hearts]
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: King of Broken Hearts
Triple: [Photograph: The Very Best of Ringo Starr, includesTrack, King of Broken Hearts]
Generated description
"King of Broken Hearts" is a reflective, country-tinged ballad by Ringo Starr that showcases his more introspective, emotional songwriting style.

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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1c5b3488190ad2d7cf18ab2fcc5 completed May 3, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbd18db88190b35e615b60cb60c2 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dd5a787c819089c278f86de8078c completed June 23, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_6a39e17cb03c8190830fe006a9dd4455 completed June 23, 2026, 1:29 a.m.
Created at: May 3, 2026, 4:10 p.m.