Triple

T25935271
Position Surface form Disambiguated ID Type / Status
Subject The O’Jays E653536 entity
Predicate notableWork P4 FINISHED
Object Message in Our Music
"Message in Our Music" is a socially conscious 1976 soul and R&B song by The O’Jays that blends lush Philadelphia production with lyrics about unity and positive change.
E1701186 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: Message in Our Music | Statement: [The O’Jays, notableWork, Message in Our Music]
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: Message in Our Music
Triple: [The O’Jays, notableWork, Message in Our Music]
Generated description
"Message in Our Music" is a socially conscious 1976 soul and R&B song by The O’Jays that blends lush Philadelphia production with lyrics about unity and positive change.

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_69e7ab3fd2f881908837305e4ba98011 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6041c82b88190a22f9ecee5172883 completed May 2, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecdcf658819084e2eefb3b6f05e6 completed May 22, 2026, 11:55 p.m.
NEDg Description generation batch_6a10ee7a469881908be91b7901ada3a2 completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 22, 2026, 8:39 a.m.