Triple

T13027441
Position Surface form Disambiguated ID Type / Status
Subject What's the 411? E326344 entity
Predicate producer P490 FINISHED
Object Mark Morales
Mark Morales, better known as Prince Markie Dee, was an American rapper, producer, and member of the Fat Boys who later became a successful R&B and hip-hop producer.
E1070053 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: Mark Morales | Statement: [What's the 411?, producer, Mark Morales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Morales
Context triple: [What's the 411?, producer, Mark Morales]
  • A. Mark Morales
    Mark Morales is a comic book writer best known for his work on the series "Uproar."
  • B. Alex Garcia
    Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
  • C. Tony Morales
    Tony Morales is a film and television composer known for creating suspenseful, atmospheric scores, including the music for the crime thriller "The Bag Man."
  • D. Daniel Morales
    Daniel Morales is the reckless yet highly skilled Marseille taxi driver and protagonist of the French action-comedy Taxi film series.
  • E. David Morales
    David Morales is an influential American DJ and Grammy-winning house music producer known for his remixes and work with major pop and dance artists.
  • 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: Mark Morales
Triple: [What's the 411?, producer, Mark Morales]
Generated description
Mark Morales, better known as Prince Markie Dee, was an American rapper, producer, and member of the Fat Boys who later became a successful R&B and hip-hop producer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark Morales
Target entity description: Mark Morales, better known as Prince Markie Dee, was an American rapper, producer, and member of the Fat Boys who later became a successful R&B and hip-hop producer.
  • A. Mark Morales
    Mark Morales is a comic book writer best known for his work on the series "Uproar."
  • B. Alex Garcia
    Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
  • C. Tony Morales
    Tony Morales is a film and television composer known for creating suspenseful, atmospheric scores, including the music for the crime thriller "The Bag Man."
  • D. Daniel Morales
    Daniel Morales is the reckless yet highly skilled Marseille taxi driver and protagonist of the French action-comedy Taxi film series.
  • E. David Morales
    David Morales is an influential American DJ and Grammy-winning house music producer known for his remixes and work with major pop and dance artists.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efc07488190a15f3e41ea2db45c completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5b2b988190892e14620fb87366 completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd56da288190b2bd33bc496c3fb9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb039fdb1c8190ad5286d1cfe80a29 completed May 6, 2026, 9:02 a.m.
Created at: April 9, 2026, 8:53 p.m.