Triple

T17186239
Position Surface form Disambiguated ID Type / Status
Subject C'mon E417115 entity
Predicate producer P490 FINISHED
Object Matt Beckley
Matt Beckley is an American record producer, mixer, and songwriter known for his work with various pop and rock artists.
 E1258505 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: Matt Beckley | Statement: [C'mon, producer, Matt Beckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matt Beckley
Context triple: [C'mon, producer, Matt Beckley]
  • A. Cod Beck
    Cod Beck is a small river in North Yorkshire, England, flowing through the North York Moors and the town of Thirsk before joining the River Swale.
  • B. Sam Manning
    Sam Manning is a fictional character from the soap opera "One Life to Live," known as the young son of Blair Cramer.
  • C. Mark Breland
    Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
  • D. Andrew Detmer
    Andrew Detmer is the troubled, telekinetic teenager whose descent into violence drives the found-footage superhero film "Chronicle."
  • E. Jamal Manning
    Jamal Manning is a fictional Chicago crime boss and aspiring politician who serves as one of the primary antagonists in the heist thriller film "Widows" (2018).
  • 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: Matt Beckley
Triple: [C'mon, producer, Matt Beckley]
Generated description
Matt Beckley is an American record producer, mixer, and songwriter known for his work with various pop and rock artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matt Beckley
Target entity description: Matt Beckley is an American record producer, mixer, and songwriter known for his work with various pop and rock artists.
  • A. Cod Beck
    Cod Beck is a small river in North Yorkshire, England, flowing through the North York Moors and the town of Thirsk before joining the River Swale.
  • B. Sam Manning
    Sam Manning is a fictional character from the soap opera "One Life to Live," known as the young son of Blair Cramer.
  • C. Mark Breland
    Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
  • D. Andrew Detmer
    Andrew Detmer is the troubled, telekinetic teenager whose descent into violence drives the found-footage superhero film "Chronicle."
  • E. Jamal Manning
    Jamal Manning is a fictional Chicago crime boss and aspiring politician who serves as one of the primary antagonists in the heist thriller film "Widows" (2018).
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d962b988190bdbba81ac63c7e6e completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e784bc8190a052c4fe87be124a completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a0172dbd70c819081b76e4887ccb6ff completed May 11, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0173557bd48190b2061be60e57c0e7 completed May 11, 2026, 6:12 a.m.
Created at: April 10, 2026, 5:37 a.m.