Triple

T29479368
Position Surface form Disambiguated ID Type / Status
Subject Third Day E747737 entity
Predicate hasDiscographyItem P1995 FINISHED
Object Offerings II: All I Have to Give
Offerings II: All I Have to Give is a worship-focused album by the Christian rock band Third Day that blends live and studio recordings of praise and devotional songs.
E1870432 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: Offerings II: All I Have to Give | Statement: [Third Day, hasDiscographyItem, Offerings II: All I Have to Give]
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: Offerings II: All I Have to Give
Triple: [Third Day, hasDiscographyItem, Offerings II: All I Have to Give]
Generated description
Offerings II: All I Have to Give is a worship-focused album by the Christian rock band Third Day that blends live and studio recordings of praise and devotional songs.

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_69f0bd43ba30819095eb1cfc3adf525c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66bd865c88190a71da0037da02ba5 completed May 2, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f1204e008190aa0f047e3d0282ab completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f6707314819083def6f08c503c36 completed June 7, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a25fab29d588190a93a4b1043036423 completed June 7, 2026, 11:11 p.m.
Created at: April 28, 2026, 4:02 p.m.