Triple

T28085706
Position Surface form Disambiguated ID Type / Status
Subject Move It On Over E709815 entity
Predicate hasBside P15273 FINISHED
Object I Heard My Mother Praying For Me
"I Heard My Mother Praying For Me" is a country gospel song associated with Hank Williams, reflecting themes of faith, family, and maternal devotion.
 E1802257 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: I Heard My Mother Praying For Me | Statement: [Move It On Over, hasBside, I Heard My Mother Praying For Me]
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: I Heard My Mother Praying For Me
Triple: [Move It On Over, hasBside, I Heard My Mother Praying For Me]
Generated description
"I Heard My Mother Praying For Me" is a country gospel song associated with Hank Williams, reflecting themes of faith, family, and maternal devotion.

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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640659c348190a1c386a3c3904c22 completed May 2, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c91adc888190a9f9c0892af6c84d completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15ca6352088190896197841a36baa7 completed May 26, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a15ccdad0d0819093ee0e177574c96d completed May 26, 2026, 4:39 p.m.
Created at: April 27, 2026, 8:55 p.m.