Triple

T30100368
Position Surface form Disambiguated ID Type / Status
Subject Pink Floyd at Knebworth 1990 E764975 entity
Predicate featuresMusician P20942 FINISHED
Object Durga McBroom
Durga McBroom is an American singer and actress best known for her longtime work as a backing vocalist with the rock band Pink Floyd, both in the studio and on major tours.
E1899056 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: Durga McBroom | Statement: [Pink Floyd at Knebworth 1990, featuresMusician, Durga McBroom]
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: Durga McBroom
Triple: [Pink Floyd at Knebworth 1990, featuresMusician, Durga McBroom]
Generated description
Durga McBroom is an American singer and actress best known for her longtime work as a backing vocalist with the rock band Pink Floyd, both in the studio and on major tours.

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_69f22474e4288190b5f895fe3974aa92 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d952c248190a3bc85a3247b0bc1 completed May 2, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27432ee8308190be247b8290e59479 completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a274402537c8190ade00dfc5d92e722 completed June 8, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a2744eb21688190939820a2659d99c5 completed June 8, 2026, 10:40 p.m.
Created at: April 29, 2026, 7:08 p.m.