Triple

T3084159
Position Surface form Disambiguated ID Type / Status
Subject Cheers E64329 entity
Predicate creator P184 FINISHED
Object Les Charles
Les Charles is an American television writer and producer best known for co-creating the acclaimed sitcom "Cheers."
 E325135 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: Les Charles | Statement: [Cheers, creator, Les Charles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Charles
Context triple: [Cheers, creator, Les Charles]
  • A. La Rive
    La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
  • B. Canal Saint-Martin
    Canal Saint-Martin is a picturesque 19th-century waterway in northeastern Paris, known for its iron footbridges, tree-lined quays, and popular cafés along its banks.
  • C. Pont Saint-Louis
    Pont Saint-Louis is a pedestrian bridge in central Paris that links the Île de la Cité to the Île Saint-Louis over the Seine.
  • D. Source-Seine
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • E. Rive gauche
    Rive Gauche is the southern, traditionally bohemian and intellectual bank of the River Seine in Paris, known for its historic cafés, universities, and artistic culture.
  • 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: Les Charles
Triple: [Cheers, creator, Les Charles]
Generated description
Les Charles is an American television writer and producer best known for co-creating the acclaimed sitcom "Cheers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Charles
Target entity description: Les Charles is an American television writer and producer best known for co-creating the acclaimed sitcom "Cheers."
  • A. La Rive
    La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
  • B. Canal Saint-Martin
    Canal Saint-Martin is a picturesque 19th-century waterway in northeastern Paris, known for its iron footbridges, tree-lined quays, and popular cafés along its banks.
  • C. Pont Saint-Louis
    Pont Saint-Louis is a pedestrian bridge in central Paris that links the Île de la Cité to the Île Saint-Louis over the Seine.
  • D. Source-Seine
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • E. Rive gauche
    Rive Gauche is the southern, traditionally bohemian and intellectual bank of the River Seine in Paris, known for its historic cafés, universities, and artistic culture.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89b650c8190983a00e37a42a794 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f992a8ec8190b3e37dddd93ac57b completed March 11, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9f759408190a4f2121078fe13cb completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.