Triple

T31975827
Position Surface form Disambiguated ID Type / Status
Subject Sidewalk Prophets E816446 entity
Predicate notableWork P4 FINISHED
Object The Words I Would Say
"The Words I Would Say" is a contemporary Christian song by Sidewalk Prophets known for its encouraging, faith-centered message and widespread popularity in Christian music circles.
 E1987118 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: The Words I Would Say | Statement: [Sidewalk Prophets, notableWork, The Words I Would Say]
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: The Words I Would Say
Triple: [Sidewalk Prophets, notableWork, The Words I Would Say]
Generated description
"The Words I Would Say" is a contemporary Christian song by Sidewalk Prophets known for its encouraging, faith-centered message and widespread popularity in Christian music circles.

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_69f348f6a3008190bfb59ca695fd68e2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b344b24881908bf1da55fd9b3a97 completed May 3, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb14cf0f88190a97174426cb191ca completed June 14, 2026, 1:49 p.m.
NEDg Description generation batch_6a2eb286d73881909e7a2352a3696226 completed June 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb43a83e48190821839ed8957d14c completed June 14, 2026, 2:01 p.m.
Created at: May 1, 2026, 12:11 a.m.