Triple

T13541546
Position Surface form Disambiguated ID Type / Status
Subject David Zucker E323396 entity
Predicate directed P7373 FINISHED
Object BASEketball E1046762 NE FINISHED

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: BASEketball | Statement: [David Zucker, directed, BASEketball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BASEketball
Context triple: [David Zucker, directed, BASEketball]
  • A. BASEketball chosen
    BASEketball is a 1998 sports comedy film that parodies professional athletics and celebrity culture, directed by David Zucker and starring Trey Parker and Matt Stone.
  • B. NBA
    The NBA here refers to the Niger Basin Authority, an intergovernmental organization that coordinates regional cooperation and sustainable development among countries sharing the Niger River basin in West Africa.
  • C. NBA
    The NBA (National Basketball Association) is the premier professional basketball league in North America, featuring the world's top male basketball players and teams.
  • D. NBA
    NBA is the vehicle registration code assigned to the town of Górowo Iławeckie in northern Poland.
  • E. NBA
    The National Board of Accreditation (NBA) is an autonomous body in India responsible for evaluating and accrediting technical and professional education programs to ensure quality and standards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bae316081909e048ead31a9575a completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:45 p.m.