Triple

T28185657
Position Surface form Disambiguated ID Type / Status
Subject Princess Magogo kaDinuzulu E716170 entity
Predicate recordingsMadeBy P122453 FINISHED
Object Hugh Tracey
Hugh Tracey was a pioneering English ethnomusicologist and field recordist renowned for documenting and preserving traditional African music throughout the mid-20th century.
 E1808444 NE FINISHED

How this triple was built (3 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: Hugh Tracey | Statement: [Princess Magogo kaDinuzulu, recordingsMadeBy, Hugh Tracey]
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: Hugh Tracey
Triple: [Princess Magogo kaDinuzulu, recordingsMadeBy, Hugh Tracey]
Generated description
Hugh Tracey was a pioneering English ethnomusicologist and field recordist renowned for documenting and preserving traditional African music throughout the mid-20th century.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: recordingsMadeBy
Context triple: [Princess Magogo kaDinuzulu, recordingsMadeBy, Hugh Tracey]
  • A. recordingsFrom
    Indicates a relationship where one entity serves as the source or origin of recordings that are associated with or derived from it.
  • B. recordingOf
    Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
  • C. artistRecorded
    Indicates that an artist has recorded a particular musical work, track, or album.
  • D. areRecordedBy chosen
    Indicates that an event, observation, or piece of information is captured or documented by a specific recording agent, device, or process.
  • E. recordedFor
    Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
  • F. None of above.

Provenance (6 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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6ab9bdc81908d163ec02874ad21 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15eb272a0481909616d11af6059b43 completed May 26, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_6a15f252672c8190a40793094f43e99e completed May 26, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: April 27, 2026, 10:22 p.m.