Triple

T1630930
Position Surface form Disambiguated ID Type / Status
Subject Late Registration E35253 entity
Predicate featuresArtist P1952 FINISHED
Object Brandy E5593 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: Brandy | Statement: [Late Registration, featuresArtist, Brandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandy
Context triple: [Late Registration, featuresArtist, Brandy]
  • A. Brandy chosen
    Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
  • B. Rum
    Rum is a rugged, sparsely populated island in the Inner Hebrides of Scotland, known for its dramatic mountain scenery, wildlife, and status as a National Nature Reserve.
  • C. Conjure Cognac
    Conjure Cognac is a premium cognac brand co-created and promoted by rapper and actor Ludacris as part of his ventures into the spirits industry.
  • D. Margarita
    Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
  • E. Amrut
    Amrut is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), known for its lyrical depth and humanistic themes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f5ae98819091ce5e00eb4256a2 completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d79bc88190bfc62f53dd8e8b90 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.