Triple

T7726834
Position Surface form Disambiguated ID Type / Status
Subject Brad Mehldau E175151 entity
Predicate notableWork P4 FINISHED
Object Largo
Largo is a genre-blending jazz album by pianist Brad Mehldau that incorporates rock, electronic, and orchestral elements into his distinctive improvisational style.
 E683806 NE FINISHED

How this triple was built (4 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: Largo | Statement: [Brad Mehldau, notableWork, Largo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Largo
Context triple: [Brad Mehldau, notableWork, Largo]
  • A. Largo
    Largo is a suburban community in Prince George’s County, Maryland, located just east of Washington, D.C.
  • B. Lower Largo
    Lower Largo is a small coastal village in Fife, Scotland, known as the birthplace of Alexander Selkirk, the sailor who inspired Daniel Defoe’s Robinson Crusoe.
  • C. Doral
    Doral is a discount cigarette brand produced by R.J. Reynolds Tobacco Company, known for its value-oriented positioning in the U.S. tobacco market.
  • D. Upper Largo
    Upper Largo is a small village in Fife, Scotland, situated near the southern coast by Largo Bay.
  • E. Bayside
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Largo
Triple: [Brad Mehldau, notableWork, Largo]
Generated description
Largo is a genre-blending jazz album by pianist Brad Mehldau that incorporates rock, electronic, and orchestral elements into his distinctive improvisational style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Largo
Target entity description: Largo is a genre-blending jazz album by pianist Brad Mehldau that incorporates rock, electronic, and orchestral elements into his distinctive improvisational style.
  • A. Largo
    Largo is a suburban community in Prince George’s County, Maryland, located just east of Washington, D.C.
  • B. Lower Largo
    Lower Largo is a small coastal village in Fife, Scotland, known as the birthplace of Alexander Selkirk, the sailor who inspired Daniel Defoe’s Robinson Crusoe.
  • C. Doral
    Doral is a discount cigarette brand produced by R.J. Reynolds Tobacco Company, known for its value-oriented positioning in the U.S. tobacco market.
  • D. Upper Largo
    Upper Largo is a small village in Fife, Scotland, situated near the southern coast by Largo Bay.
  • E. Bayside
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • F. None of above. chosen

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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70314abb88190a7eaa519bd7398c9 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b5275164819096678c019fdd4da4 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5ed16d48190b127877fc9a11abf completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b65a04a48190bf5e01ba0921cf14 completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:06 p.m.