Triple

T30262950
Position Surface form Disambiguated ID Type / Status
Subject Morning of the Earth E769549 entity
Predicate soundtrackFeaturesArtist P70945 FINISHED
Object John J. Francis
John J. Francis is an Australian singer-songwriter known for his folk and rock music, including contributions to influential 1970s surf culture soundtracks.
 E1906763 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: John J. Francis | Statement: [Morning of the Earth, soundtrackFeaturesArtist, John J. Francis]
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: John J. Francis
Triple: [Morning of the Earth, soundtrackFeaturesArtist, John J. Francis]
Generated description
John J. Francis is an Australian singer-songwriter known for his folk and rock music, including contributions to influential 1970s surf culture soundtracks.

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_69f22484a5f48190b678cd607700bc82 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f680aa301c8190b29870063a24a8ec completed May 2, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27645fbe1c8190bb5b87e0680bd0fa completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a27682a252c81909dd4146f9acbd77f completed June 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_6a2768d8683c8190afb8c6880178c7bf completed June 9, 2026, 1:14 a.m.
Created at: April 29, 2026, 7:42 p.m.