Triple

T37056168
Position Surface form Disambiguated ID Type / Status
Subject The Quilt E917190 entity
Predicate hasPart P35 FINISHED
Object Like Father, Like Son (Papa’s Song)
"Like Father, Like Son (Papa’s Song)" is a track from the 1994 hip hop album *The Quilt*, reflecting themes of family and generational legacy.
 E2210398 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: Like Father, Like Son (Papa’s Song) | Statement: [The Quilt, hasPart, Like Father, Like Son (Papa’s Song)]
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: Like Father, Like Son (Papa’s Song)
Triple: [The Quilt, hasPart, Like Father, Like Son (Papa’s Song)]
Generated description
"Like Father, Like Son (Papa’s Song)" is a track from the 1994 hip hop album *The Quilt*, reflecting themes of family and generational legacy.

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_69f76e94d0308190a3f06890e133c88e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f6a28588190931da28eb143e61d completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c51bc1c819096a82727dc790f6e completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e98307d6481908425944dcd45d32a completed June 26, 2026, 3:18 p.m.
NED2 Entity disambiguation (via description) batch_6a3ea36c66788190a0be0d0f84c1090b completed June 26, 2026, 4:06 p.m.
Created at: May 3, 2026, 4:14 p.m.