Triple

T30933988
Position Surface form Disambiguated ID Type / Status
Subject SoulPancake E788069 entity
Predicate knownFor P22 FINISHED
Object My Last Days documentary series
My Last Days documentary series is an inspirational docuseries that profiles terminally ill individuals who share their stories, perspectives, and lessons on living life to the fullest.
 E1939253 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: My Last Days documentary series | Statement: [SoulPancake, knownFor, My Last Days documentary series]
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: My Last Days documentary series
Triple: [SoulPancake, knownFor, My Last Days documentary series]
Generated description
My Last Days documentary series is an inspirational docuseries that profiles terminally ill individuals who share their stories, perspectives, and lessons on living life to the fullest.

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_69f224c0b7fc819090cb89df60d23653 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692e2c1f08190a2f44e4e4575b6cd completed May 3, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e47400448190bd0c471c594862a6 completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e8a299908190a16f145e901f8edd completed June 10, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a28e91bbbcc8190bf420aaed9cf4b8a completed June 10, 2026, 4:33 a.m.
Created at: April 29, 2026, 8:52 p.m.