Triple

T21854740
Position Surface form Disambiguated ID Type / Status
Subject 2 Broke Girls E539593 entity
Predicate mainCharacter P1183 FINISHED
Object Max Black 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 Black | Statement: [2 Broke Girls, mainCharacter, Max Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Black
Context triple: [2 Broke Girls, mainCharacter, Max Black]
  • A. Max Black chosen
    Max Black is a sarcastic, street-smart Brooklyn waitress and aspiring cupcake entrepreneur who co-leads the sitcom "2 Broke Girls."
  • B. Max Black
    Max Black was a 20th-century analytic philosopher known for his influential work in the philosophy of language, logic, and metaphysics.
  • C. Ben Black
    Ben Black is a member of the prominent Black family, known primarily as the son of billionaire investor and Apollo Global Management co-founder Leon Black.
  • D. Matt Black
    Matt Black is a British DJ, producer, and co-founder of the influential electronic music duo Coldcut and the independent record label Ninja Tune.
  • E. Matt Black
    Matt Black is an American documentary photographer renowned for his stark black-and-white work on poverty, migration, and environmental issues, particularly in rural and marginalized communities.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0bd5ba9288190af962117124f6483 completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:56 p.m.