Triple

T30450881
Position Surface form Disambiguated ID Type / Status
Subject These Days E774708 entity
Predicate hasPart P35 FINISHED
Object If God Was a Woman
"If God Was a Woman" is a song featured on the album "These Days," likely exploring themes of gender and divinity through its lyrics.
 E1915247 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: If God Was a Woman | Statement: [These Days, hasPart, If God Was a Woman]
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: If God Was a Woman
Triple: [These Days, hasPart, If God Was a Woman]
Generated description
"If God Was a Woman" is a song featured on the album "These Days," likely exploring themes of gender and divinity through its lyrics.

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_69f22493ef9c8190ae8c2afcb7f994c8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686c3f7e481909d7710aa80c2b429 completed May 2, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798c942808190b7edabba9ae0da76 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279a4a0fc0819083d399a62fcb66dc completed June 9, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_6a279c2619808190bcc4d984ff56b36b completed June 9, 2026, 4:52 a.m.
Created at: April 29, 2026, 8:09 p.m.