Triple

T7161737
Position Surface form Disambiguated ID Type / Status
Subject Wes Montgomery E166962 entity
Predicate nickname P55 FINISHED
Object Wes
Wes is the commonly used nickname of legendary American jazz guitarist Wes Montgomery, renowned for his influential, melodic playing style and use of thumb-picked octaves.
 E645149 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: Wes | Statement: [Wes Montgomery, nickname, Wes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wes
Context triple: [Wes Montgomery, nickname, Wes]
  • A. Wes
    Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
  • B. Wesley Jonathan
    Wesley Jonathan is an American actor best known for his roles in early-2000s television sitcoms and films, including the roller-skating comedy-drama "Roll Bounce."
  • C. Marcus Wesley
    Marcus Wesley is an American actor best known for his supporting roles in films such as the 2006 fantasy adventure movie "The Fall."
  • D. Leon Wilkeson
    Leon Wilkeson was the longtime bassist for the Southern rock band Lynyrd Skynyrd, known for his melodic playing and distinctive stage presence.
  • E. Walter
    Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • 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: Wes
Triple: [Wes Montgomery, nickname, Wes]
Generated description
Wes is the commonly used nickname of legendary American jazz guitarist Wes Montgomery, renowned for his influential, melodic playing style and use of thumb-picked octaves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wes
Target entity description: Wes is the commonly used nickname of legendary American jazz guitarist Wes Montgomery, renowned for his influential, melodic playing style and use of thumb-picked octaves.
  • A. Wes
    Wes is a common shorthand name for Wesleyan University, a private liberal arts institution known for its rigorous academics and vibrant campus culture.
  • B. Wesley Jonathan
    Wesley Jonathan is an American actor best known for his roles in early-2000s television sitcoms and films, including the roller-skating comedy-drama "Roll Bounce."
  • C. Marcus Wesley
    Marcus Wesley is an American actor best known for his supporting roles in films such as the 2006 fantasy adventure movie "The Fall."
  • D. Leon Wilkeson
    Leon Wilkeson was the longtime bassist for the Southern rock band Lynyrd Skynyrd, known for his melodic playing and distinctive stage presence.
  • E. Walter
    Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc4b7648190969fab0351f9fd22 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae44e0d48190818b193e03aba6a4 completed March 28, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_69c7aeb68c3481909c6dff8ee51349ab completed March 28, 2026, 10:34 a.m.
Created at: March 27, 2026, 2:47 p.m.