Triple

T36939084
Position Surface form Disambiguated ID Type / Status
Subject Joe Hinton E913700 entity
Predicate notableSingle P3283 FINISHED
Object Better to Give Than to Receive
"Better to Give Than to Receive" is a 1960s soul single by American singer Joe Hinton, noted among collectors and fans of classic R&B.
 E2204962 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: Better to Give Than to Receive | Statement: [Joe Hinton, notableSingle, Better to Give Than to Receive]
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: Better to Give Than to Receive
Triple: [Joe Hinton, notableSingle, Better to Give Than to Receive]
Generated description
"Better to Give Than to Receive" is a 1960s soul single by American singer Joe Hinton, noted among collectors and fans of classic R&B.

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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fe174a508190a717d6e962a90fb7 completed May 5, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e164112c48190aa8664930d0714af completed June 26, 2026, 6:03 a.m.
NEDg Description generation batch_6a3e1700f1e48190b6e05342916be71a completed June 26, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3e220221d881909368130e64895717 completed June 26, 2026, 6:53 a.m.
Created at: May 3, 2026, 4:13 p.m.