Triple

T31784135
Position Surface form Disambiguated ID Type / Status
Subject Don Drummond E811282 entity
Predicate notableWork P4 FINISHED
Object Man in the Street
"Man in the Street" is a classic ska instrumental track by Jamaican trombonist Don Drummond, known as one of his most influential and enduring recordings.
 E1978295 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: Man in the Street | Statement: [Don Drummond, notableWork, Man in the Street]
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: Man in the Street
Triple: [Don Drummond, notableWork, Man in the Street]
Generated description
"Man in the Street" is a classic ska instrumental track by Jamaican trombonist Don Drummond, known as one of his most influential and enduring recordings.

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_69f348e544a48190ab6e700b05f6438c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abe760f88190b01131bf42e4066c completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d5a94488190afa05e1b18512b86 completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2d9e5cacf881909256095fa02d95a9 completed June 13, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2da22dea008190881a4e08691f9645 completed June 13, 2026, 6:32 p.m.
Created at: April 30, 2026, 11:37 p.m.