Triple

T18056310
Position Surface form Disambiguated ID Type / Status
Subject Mr. Nice E432047 entity
Predicate basedOnAuthor P2806 FINISHED
Object Howard Marks NE NERFINISHED

How this triple was built (2 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: Howard Marks | Statement: [Mr. Nice, basedOnAuthor, Howard Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Marks
Context triple: [Mr. Nice, basedOnAuthor, Howard Marks]
  • A. Howard Marks chosen
    Howard Marks was a Welsh drug smuggler turned author and counterculture icon, best known for his autobiography "Mr Nice" and his larger-than-life persona.
  • B. Howard Marks
    Howard Marks is an American investor and writer best known as the co-founder and co-chairman of Oaktree Capital Management and for his widely followed investment memos.
  • C. Seth Klarman
    Seth Klarman is an American billionaire investor, hedge fund manager, and author, best known as the long-time head of Baupost Group and a leading proponent of value investing.
  • D. William Bernstein
    William Bernstein is an American film producer best known as a co-founder of the independent film studio Orion Pictures.
  • E. Michael Burry
    Michael Burry is an American investor and hedge fund manager best known for predicting and profiting from the U.S. housing market collapse before the 2008 financial crisis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c102d08081908d2419c898213400 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.