Triple

T21878064
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Kosinski E540203 entity
Predicate notableWork P4 FINISHED
Object Being There 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: Being There | Statement: [Jerzy Kosinski, notableWork, Being There]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Being There
Context triple: [Jerzy Kosinski, notableWork, Being There]
  • A. Being There chosen
    Being There is a 1979 satirical comedy-drama film starring Peter Sellers as a simple-minded gardener whose naive remarks are mistaken for profound wisdom in American political circles.
  • B. Being There
    "Being There" is a critically acclaimed 1996 double album by the American alternative rock band Wilco, showcasing Jeff Tweedy's expansive songwriting and blending alt-country with experimental rock.
  • C. The Moviegoer
    The Moviegoer is Walker Percy’s acclaimed debut novel, a philosophical Southern work that follows an alienated New Orleans stockbroker on a reflective search for meaning in modern life.
  • D. Seize the Day
    "Seize the Day" is a melodic hard rock ballad by American heavy metal band Avenged Sevenfold, known for its emotional lyrics and dramatic music video.
  • E. Seize the Day
    Seize the Day is a novella by Saul Bellow that follows a day in the life of a failed salesman confronting personal and financial ruin in mid-20th-century New York.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33c012c819096d0f7b2ffdc7a2f completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:03 p.m.