Triple

T23482405
Position Surface form Disambiguated ID Type / Status
Subject Max Kellerman E570441 entity
Predicate name P16 FINISHED
Object Max Kellerman 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: Max Kellerman | Statement: [Max Kellerman, name, Max Kellerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Kellerman
Context triple: [Max Kellerman, name, Max Kellerman]
  • A. Max Kellerman chosen
    Max Kellerman is an American sports television personality and boxing commentator known for his outspoken analysis on ESPN programs and boxing broadcasts.
  • B. Marty Makary
    Marty Makary is an American surgeon, public health researcher, and author known for his work on healthcare transparency and patient safety.
  • C. Harlan Krumholz
    Harlan Krumholz is an American cardiologist and health outcomes researcher known for his work on quality of care, patient-centered outcomes, and healthcare transparency.
  • D. Sanjay Gupta
    Sanjay Gupta is an Indian businessman known for his role as a co-owner and investor in the Kolkata-based football club ATK.
  • E. Paul Prenter
    Paul Prenter was Freddie Mercury’s former personal manager, widely known for his controversial role in Mercury’s life and career, including his portrayal as a key antagonist in the film "Bohemian Rhapsody."
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a75118048190b4af687906c4e747 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.