Triple

T28031233
Position Surface form Disambiguated ID Type / Status
Subject Todd Smith E708271 entity
Predicate hasTrack P3284 FINISHED
Object Down the Aisle
"Down the Aisle" is a song by American Christian rock musician Todd Smith, known for its reflective, faith-centered themes and emotive vocal delivery.
 E1800988 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: Down the Aisle | Statement: [Todd Smith, hasTrack, Down the Aisle]
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: Down the Aisle
Triple: [Todd Smith, hasTrack, Down the Aisle]
Generated description
"Down the Aisle" is a song by American Christian rock musician Todd Smith, known for its reflective, faith-centered themes and emotive vocal delivery.

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_69ef9b6bdd9c8190bb3a574a03774ad1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f63c72207481909a00938678ab7005 completed May 2, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b8b02f508190ad3584d819533119 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15bdb8fa788190ab3a0977855bebbc completed May 26, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a15beaf07208190b3addc23aa449e82 completed May 26, 2026, 3:39 p.m.
Created at: April 27, 2026, 8:16 p.m.