Triple

T7209941
Position Surface form Disambiguated ID Type / Status
Subject Charmbracelet E148774 entity
Predicate featuresArtist P1952 FINISHED
Object JD E541478 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: JD | Statement: [Charmbracelet, featuresArtist, JD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JD
Context triple: [Charmbracelet, featuresArtist, JD]
  • A. JD chosen
    The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
  • B. Jud
    Jud is a masculine given name, often used as a short form of names like Judson or Judah.
  • C. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • D. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • E. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96c46dc819080a6b40456d7b068 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc9aae48190aa432ebc0034d9b8 completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:53 p.m.