Triple

T11433107
Position Surface form Disambiguated ID Type / Status
Subject The Bar-Kays E270935 entity
Predicate associatedAct P37 FINISHED
Object The MG’s
The MG’s are a soul and R&B instrumental group best known as part of the Stax Records sound and for their influential groove-based recordings.
E925977 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: The MG’s | Statement: [The Bar-Kays, associatedAct, The MG’s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The MG’s
Context triple: [The Bar-Kays, associatedAct, The MG’s]
  • A. MGB
    MGB is a Swiss narrow-gauge railway company operating scenic mountain routes through the Alps, including connections to famous lines like the Glacier Express.
  • B. MGB
    MGB was the Soviet Union’s Ministry of State Security, a key secret police and intelligence agency that operated before being reorganized into the KGB.
  • C. The Rover
    The Rover is a 2014 Australian post-apocalyptic crime drama film directed by David Michôd, set in a lawless outback ten years after a global economic collapse.
  • D. The Rover
    The Rover is a Restoration comedy play by Aphra Behn that follows a group of English cavaliers pursuing love and adventure during Carnival in Naples.
  • E. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • 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: The MG’s
Triple: [The Bar-Kays, associatedAct, The MG’s]
Generated description
The MG’s are a soul and R&B instrumental group best known as part of the Stax Records sound and for their influential groove-based recordings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The MG’s
Target entity description: The MG’s are a soul and R&B instrumental group best known as part of the Stax Records sound and for their influential groove-based recordings.
  • A. MGB
    MGB was the Soviet Union’s Ministry of State Security, a key secret police and intelligence agency that operated before being reorganized into the KGB.
  • B. MGB
    MGB is a Swiss narrow-gauge railway company operating scenic mountain routes through the Alps, including connections to famous lines like the Glacier Express.
  • C. The Rover
    The Rover is a Restoration comedy play by Aphra Behn that follows a group of English cavaliers pursuing love and adventure during Carnival in Naples.
  • D. The Rover
    The Rover is a 2014 Australian post-apocalyptic crime drama film directed by David Michôd, set in a lawless outback ten years after a global economic collapse.
  • E. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c30d788190b0c939b33de89277 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d379f8d48190860a1ef98505c42e completed April 20, 2026, 7:19 a.m.
NEDg Description generation batch_69e5d659fd7c819090b168168e355cb8 completed April 20, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_69e5d7f238cc8190a1c2dd26bdc5ff77 completed April 20, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:35 p.m.