Triple

T26918683
Position Surface form Disambiguated ID Type / Status
Subject Love Without Fear E677583 entity
Predicate hasTrack P3284 FINISHED
Object A Song Can Be About Anything
"A Song Can Be About Anything" is a reflective indie-folk track by American singer-songwriter Jukebox the Ghost from their album "Love Without Fear."
E1749132 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: A Song Can Be About Anything | Statement: [Love Without Fear, hasTrack, A Song Can Be About Anything]
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: A Song Can Be About Anything
Triple: [Love Without Fear, hasTrack, A Song Can Be About Anything]
Generated description
"A Song Can Be About Anything" is a reflective indie-folk track by American singer-songwriter Jukebox the Ghost from their album "Love Without Fear."

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_69eee9bdebc48190ba90a12a63e09c73 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6200ac60481909895c61d050b1338 completed May 2, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121eb6e04881909242b367f9bea7d0 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a1222ca264881909aa8fde0c811d9e0 completed May 23, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_6a122380eb708190a61dec3552516dd4 completed May 23, 2026, 10 p.m.
Created at: April 27, 2026, 6:05 a.m.