Triple

T5193705
Position Surface form Disambiguated ID Type / Status
Subject Meghan Trainor E117216 entity
Predicate familyName P18 FINISHED
Object Trainor
Trainor is the surname of American pop singer-songwriter Meghan Trainor, known for hits like "All About That Bass."
 E501249 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: Trainor | Statement: [Meghan Trainor, familyName, Trainor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trainor
Context triple: [Meghan Trainor, familyName, Trainor]
  • A. Trainer
    Trainer is a TensorFlow Extended component responsible for training machine learning models within end-to-end ML pipelines.
  • B. Trotter
    Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
  • C. Treveris
    Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
  • D. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • E. Saddler
    Saddler is a surname and occupational term historically referring to someone who makes, repairs, or sells saddles and other horse-related leather equipment.
  • 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: Trainor
Triple: [Meghan Trainor, familyName, Trainor]
Generated description
Trainor is the surname of American pop singer-songwriter Meghan Trainor, known for hits like "All About That Bass."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trainor
Target entity description: Trainor is the surname of American pop singer-songwriter Meghan Trainor, known for hits like "All About That Bass."
  • A. Trainer
    Trainer is a TensorFlow Extended component responsible for training machine learning models within end-to-end ML pipelines.
  • B. Trotter
    Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
  • C. Treveris
    Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
  • D. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • E. Saddler
    Saddler is a surname and occupational term historically referring to someone who makes, repairs, or sells saddles and other horse-related leather equipment.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f142488190bc6c57b8ff7ef894 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09743e08190a3a73fb410a6f124 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee5a7cc748190b5df14b78aeac608 completed March 21, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_69bee64966f88190874edda00332e220 completed March 21, 2026, 6:41 p.m.
Created at: March 20, 2026, 1:46 p.m.